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    INTRODUCTION

    Drug design is the approach of finding new drugs , based on the biological targets (the

    protein). Typically a drug target is a key molecule involved in a particular metabolic or signalling pathway that is specific to a disease condition or pathology, or to the

    infectivity or survival of a microbial pathogen.

    Rational Drug Design (RDD) is a process used in the biopharmaceutical industry to

    discover and develop new drug compounds. RDD uses a variety of computational

    methods to identify novel compounds, design compounds for selectivity, efficacy and

    safety, and develop compounds into clinical trial candidates. These methods fall into

    several natural categories structure-based drug design, ligand-based drug design, de

    novo design and homology modeling depending on how much information is available

    about drug targets and potential drug compounds.

    In this project main emphasis is on Cyclooxygenase 2 which is an enzyme which is

    present in human body and is responsible for inflamatory response of the immune system

    of human body.The cyclooxygenase is naturally occuring enymes and produces

    hormones called protaglandins.E.C number of cyclooxygenase is 1.14.99.1 .There aretwo isoforms of cyclooxygenase .Cyclooxygenase-1(Cox-1) & cyclooxygenase-2(Cox-

    2). The genes for cox-1 and cox-2 are located on chromosomes 9 and 1. The human cox-

    2 gene is 8.3 kilobases (kb) whereas the cox-1 gene is much larger 22 kb . In terms of

    their molecular biology, COX-1 and COX-2 are of similar molecular weight (67 and 72

    k Da respectively), and having 65% amino acid sequence homology and near-identical

    catalytic sites.

    Cox-1 Is a House Keeping Enzyme and Is Normally Present in a Variety of Area of the

    Human Body Including Stomach.The cox-1 enzyme of the stomach produces certain

    chemical messanger called prostaglandins that ensure the natural mucus lining which

    protects the inner stomatch, mediate normal platelet function and regulate renal blood

    flow.

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    http://en.wikipedia.org/wiki/Medicationhttp://en.wikipedia.org/wiki/Biological_targethttp://en.wikipedia.org/wiki/Moleculehttp://en.wikipedia.org/wiki/Metabolichttp://en.wikipedia.org/wiki/Pathwayhttp://en.wikipedia.org/wiki/Microorganismhttp://en.wikipedia.org/wiki/Pathogenhttp://en.wikipedia.org/wiki/Dalton_(unit)http://en.wikipedia.org/wiki/Medicationhttp://en.wikipedia.org/wiki/Biological_targethttp://en.wikipedia.org/wiki/Moleculehttp://en.wikipedia.org/wiki/Metabolichttp://en.wikipedia.org/wiki/Pathwayhttp://en.wikipedia.org/wiki/Microorganismhttp://en.wikipedia.org/wiki/Pathogenhttp://en.wikipedia.org/wiki/Dalton_(unit)
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    Cox 2 is 74 kD protein,Cox 2 contains 604 amino acids, it is located at chromosome

    number 1,TATA box is present upstream of the start codon,it is usually absent in a cell

    under normal condition and is expressed only in response to inflammatio,its over

    expression in our system is a matter of concern as it may cause tumor formation.The

    tumor formed may,under the influence of mitogens and other carcinogens, lead to cancer

    formation.

    There are many differences between cox 1 and cox 2.COX 1 is detectable under normal

    conditions while COX 2 is not.COX 1 is located on chromosome number 9 while COX 2

    is located on chromosome number 1 in human DNA.In COX 1 TATA Box is is ABSENT

    while in COX 2 it is present.The lumen of COX 1 is thinner while that of COX 2 is

    wider,so sometimes antibodies for COX 2 tend to affect COX 1 as well.The gene for COX 1 is longer as compare to COX 2. COX 1 is found in most mammalian cells while

    COX 2 is abundant only in macrophages and other sites of inflammation.At position

    523,in the gene,COX 1 has isoleucine while COX 2 has valine.

    1.2 Pathways Of Formation And Action Of Cox-1 And Cox-2

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    1.3 Production And Action Of Prostagladin

    Arachidonic acid(a 20 carbon FA containing 4 double bonds) is liberated from the

    membrane phospholipids by phospholipase A2, Which is activated by diverse stimuli.

    Arachidonic acid is converted by cyclooxygenase to the unstable intermediate

    prostaglandinH2 .

    Prostaglandin H2 is converted by tissue specific isomerases to multiple prostaglandin

    such as prostacyclin, thromboxane,prostaglandinD,E,F.

    FIG. . The arachidonic acid cascade

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    While initial studies upheld the concept that COX-2 is mainly an inflammatory, inducible

    enzyme, more recent studies are beginning to reveal additional functions. We will now

    turn our attention to the various organ systems and disease states where COX-2 appears

    to have functional significance.

    Prostaglandins are known to serve as important physiologic modulators of vascular tone

    and sodium and water homeostasis in the mammalian kidney, including modulation of

    glomerular hemodynamics, tubular reabsorption of sodium and water, and regulation of

    renin secretion.

    COX-2 seems to have some role in regulating brain function. PGs have long been knownas mediators of fever, of inflammatory reactions in neural tissue, and, more recently, of

    brain function. The recognition that each of these processes involves induction of PG

    synthesis has led to an appreciation of the role COX-2 plays in the PG-mediated

    functions. In turn, COX-2 inhibition by an isoform-specific NSAID can effectively block

    fever . Communication between local inflammatory sites and the brain endothelium is

    mediated by cytokines such as IL-1, which can directly induce COX-2 expression in

    these cells .

    The use of NSAIDs causes a variety of problems in the gastrointestinal tract including

    irritation and ulceration of the stomach lining . In animal studies, COX-2 is not induced

    after exposure to radiation, and its presence is not essential for crypt cell survival . Under

    these circumstances, COX-1 appears to play a major role, as it does in the stomach, in

    maintaining proper glandular architectureIn addition, COX-2 is expressed during

    inflammation and wound healing, and in animal models, treatment with COX-2 inhibitors

    can exacerbate inflammation and inhibit healing. Nevertheless, COX-2 selective

    inhibitors appear to be associated with less gastrointestinal damage than conventional

    NSAIDs .

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    Evidence provided by animal models of inflammatory arthritis strongly suggests that

    increased expression of COX-2 is responsible for increased PG production seen in

    inflamed joint tissues . COX-2 induction has been observed in both human osteoarthritis-

    affected cartilage as well as in synovial tissue taken from patients afflicted with

    The pro-inflammatory agents IL-1, TNF-, and LPS, as well as the growth factors TGF-,

    EGF, PDGF, and FGF, have all been shown to induce COX-2 expression in this system.

    On the other hand, the antiinflammatory cytokines IL-4 and IL-13, as well as the

    immunosuppresive glucocorticoids, were shown to decrease COX-2 levels . Although the

    synovial tissues of patients with osteoarthritis express lesser amounts of COX-2, primary

    explant cultures of human osteoarthritis-affected cartilage spontaneously express large

    amounts of COX-2 and PGs .The rapid expansion of knowledge about the role of COX-2in inflammation led to drug screens attempting to identify antiinflammatory agents

    selective for COX-2 as well as to the rational design of highly selective COX-2

    inhibitors.

    COX-2 is induced in both local and central sites , and the question of whether COX-2

    mediates pain reception or transmission is being investigated, primarily through the use

    of COX-2 specific NSAIDs.. In fact, the COX-2 specific inhibitor Celecoxib was shown

    in short-term human studies to effectively suppress the pain associated with dental work,

    osteoarthritis, or rheumatoid arthritis without causing any significant gastroduodenal

    lesions .

    NSAID use reduces risk for Alzheimer's Disease (AD), with users of these agents having

    as little as one half the risk of acquiring AD as those not taking NSAIDs. Several

    population-based studies have detected a 4050% decrease in relative risk for colorectal

    cancer in persons who regularly use aspirin and other NSAIDs .

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    REVIEW OF LITERATURE

    Barbara et-al , 2007 reported recently that changes in expression level of COX-2 are

    correlated with development and progression of human melanoma. In this study, weinvestigated whether the COX-2 expression level might be a useful immunohistochemical

    marker for distinguishing cutaneous melanomas from benign melanocytic lesions. Up to

    now, immunohistochemical markers have not ensured satisfactory sensitivity and

    specificity of differential pathologic diagnosis of melanoma. The expression of COX-2

    was determined immunohistochemically in formalin-fixed, paraffin-embedded specimens

    of 33 early Clark I/II melanomas and 58 naevi. Mean COX-2 expression in melanomas

    was significantly stronger than in naevi (P[almost equal to]10-13). A simple diagnostic

    algorithm using threshold values of the COX-2 expression level allows for differentiation

    between early melanomas and naevi with high sensitivity (Se) and specificity (Sp) (for Se

    between 91 and 100%, Sp values change between 96.5 and 51.7%). Areas under the

    receiver operating characteristic curves were, respectively, 0.97+/-0.02 and 0.86+/-0.04

    for the COX-2 expression in central and border regions of the lesions. For all the

    melanomas (not only the early ones),the respective areas under the ROC curve values

    were 0.98+/-0.01 and 0.97+/-0.02. In conclusion, COX-2 is the first

    immunohistochemical marker that allows the distinguishing of early melanomas frombenign melanocytic lesions with both high sensitivity and specificity

    Jeroen , et-al , 2005 worked on neuronal expression of cyclooxygenase-2 (COX-2) and

    cell cycle proteins is suggested to contribute to neurodegeneration during Alzheimer's

    disease (AD). The stimulus that induces COX-2 and cell cycle protein expression in AD

    is still elusive. Activated glia cells are shown to secrete substances that can induce

    expression of COX-2 and cell cycle proteins in vitro . Using post mortem brain tissue we

    have investigated whether activation of microglia and astrocytes in AD brain can be

    correlated with the expression of COX-2 and phosphorylated retinoblastoma protein

    (ppRb). The highest levels of neuronal COX-2 and ppRb immunoreactivity are observed

    in the first stages of AD pathology (Braak 0II, Braak A). No significant difference in

    COX-2 or ppRb neuronal immunoreactivity is observed between Braak stage 0 and later

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    Braak stages for neurofibrillary changes or amyloid plaques. The mean number of COX-

    2 or ppRb immunoreactive neurons is significantly decreased in Braak stage C compared

    to Braak stage A for amyloid deposits. Immunoreactivity for glial markers KP1, CR3/43

    and GFAP appears in the later Braak stages and is significantly increased in Braak stage

    V-VI compared to Braak stage 0 for neurofibrillary changes. In addition, a significant

    negative correlation is observed between the presence of KP1, CR3/43 and GFAP

    immunoreactivity and the presence of neuronal immunoreactivity for COX-2 and ppRb.

    These data show that maximal COX-2 and ppRb immunoreactivity in neurons occurs

    during early Braak stages prior to the maximal activation of astrocytes and microglia. In

    contrast to in vitro studies, post mortem data do not support a causal relation between the

    activation of microglia and astrocytes and the expression of neuronal COX-2 and ppRb in

    the pathological cascade of AD

    Anna , et-al , 2007 work showed that Cyclooxygenase-2 (COX-2) is the inducible form of

    the enzyme involved in the first steps of the prostaglandins and thromboxane synthesis.

    COX-2 up-regulation is demonstrated in tumors where it can modulate tumoral

    progression, metastasis, multidrug resistance, and angiogenesis. Experimental data

    suggest a possible therapeutic use of the COX-inhibitors nonsteroidal antiinflammatory

    drugs (NSAIDs). NSAIDs can block tumor growth through many mechanisms, especially

    through antiangiogenic and proapoptotic effects. Moreover, NSAIDs can also improve

    the efficacy of radiotherapy, chemotherapy, and hormonal therapy. This study reviews

    the COX-2 expression as evaluated through immunohistochemistry and real time

    polymerase chain reaction (RT-PCR) in 23 meningiomas [14 World Health Organization

    (WHO) grade I; 5 WHO grade II; 3 WHO grade III; 1 oncocytic meningioma]. At

    immunohistochemistry all the lesions but 4 (83%) were COX-2 positive. At RT-PCR 9

    meningiomas, 8 WHO grade I and 1 WHO grade II, showed a COX-2 expression greater

    than the reference value (average expression of all meningiomas that we studied). Theassociation between tumor grade and immunohistochemical or RT-PCR COX-2

    expression was not significant (P=0.427 and P=0.251, respectively). In conclusion, even

    if further studies on larger series are necessary, the common COX-2 overexpression in

    meningiomas may suggest considering the COX-2 inhibitors, alone or in combination

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    with radiotherapy, a potential area of therapeutic intervention in some selected

    meningiomas.

    Marco , et-al, 2005 work showed that Cyclooxygenase 2 (COX-2) is an inflammation-

    associated enzyme involved in the pathogenesis of many solid tumors, but little is known

    about its presence and role in hematologic neoplasms. Multiple myeloma (MM) is known

    to involve a deregulated cytokine network with secretion of inflammatory mediators. We

    thus decided to investigate the involvement of COX-2 in this neoplasm. Western blotting

    (WB) was used to evaluate 142 bone marrow (BM) specimens, including MM and

    monoclonal gammopathy of undetermined significance (MGUS). Selected cases under-

    went further evaluation by WB on purified CD138 + cells, immunohistochemistry (IC),

    and real-time

    polymerase chain reaction (PCR) for mRNA expression. COX-2 wasexpressed in 11% (2 of 18) of MGUS specimens, 31% (29 of 94) of MM at diagnosis, and

    47% (14 of 30) of MM with relapsed/refractory disease. COX-2 positivity was associated

    with a poor outcome in terms of progression-free (18 vs 36 months; P < .001) and overall

    survival (28 vs 52 months; P < .05). Real-time PCR showed COX-2 mRNA

    overexpression. IC and cell separation studies demonstrated COX-2 expression to be

    restricted to malignant plasma cells. This is the first report of the presence and prognostic

    role of COX-2 expression in MM. Future studies will assess COX-2 involvement in other

    hematologic tumors and its potential use as a therapeutic or chemo-preventive target in

    onco-hematology.

    Phuong, et-al, 2002 Their studies were performed to ascertain the relative abundance of

    E prostaglandin (EP) receptor mRNAs in tissues that are major targets, or major

    degradative sites, of insulin; to identify which EP receptor type mediates PGE 2 inhibition

    of insulin secretion in pancreatic islets; and to examine possible sites of action through

    which sodium salicylate might affect IL-1/PGE 2 interactions. Real-time fluorescence-

    based RT-PCR indicated that EP3 is the most abundant EP receptor type in islets, liver,

    kidney, and epididymal fat. EP3 mRNA is the least, whereas EP2 mRNA is the most,

    abundant type in skeletal muscle. Misoprostol, an EP3 agonist, inhibited glucose-induced

    insulin secretion from islets, an event that was prevented by preincubation with pertussis

    toxin, by decreasing cAMP. Electromobility shift assays demonstrated that sodium

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    recurrent neoplastic polyps of the large bowel in patients with a history of colorectal

    adenomas.A total of 2586 patients with a history of colorectal adenomas underwent

    randomization: 1287 were assigned to receive 25 mg of rofecoxib daily, and 1299 to

    receive placebo. All investigator-reported serious adverse events that represented

    potential thrombotic cardiovascular events were adjudicated in a blinded fashion by an

    external committee. A total of 46 patients in the rofecoxib group had a confirmed

    thrombotic event during 3059 patient-years of follow-up (1.50 events per 100 patient-

    years), as compared with 26 patients in the placebo group during 3327 patient-years of

    follow-up (0.78 event per 100 patient-years); the corresponding relative risk was 1.92 (95

    percent confidence interval, 1.19 to 3.11; P=0.008). The increased relative risk became

    apparent after 18 months of treatment; during the first 18 months, the event rates were

    similar in the two groups. The results primarily reflect a greater number of myocardialinfarctions and ischemic cerebrovascular events in the rofecoxib group. There was earlier

    separation (at approximately five months) between groups in the incidence of

    nonadjudicated investigator-reported congestive heart failure, pulmonary edema, or

    cardiac failure (hazard ratio for the comparison of the rofecoxib group with the placebo

    group,4.61;95percent confidence interval, 1.50 to 18.83). Overall and cardiovascular

    mortality was similar in the two groups. CONCLUSIONS: Among patients with a history

    of colorectal adenomas, the use of rofecoxib was associated with an increased

    cardiovascular risk

    Jana, et-al , 2002 worked on Dexamethasone and concluded that it is very effective for

    controlling peritumoral cerebral edema, it is associated with distressing side effects that

    decrease the quality of life for many patients. One potential mechanism to explain the

    ability of dexamethasone to repair blood-brain barrier dysfunction is through the

    inhibition of cyclooxygenase-2 (COX-2). The purpose of this study was to determine in a

    rat brain tumor model whether SC-236, a selective COX-2 inhibitor, is as effective asdexamethasone. Twenty-nine adult male Fischer 344 rats were implanted with

    intracerebral 9L gliosarcomas and divided into 3 treatment groups. One group ( n = 9)

    served as controls, another ( n = 9) was treated with dexamethasone (3 mg/kg p.o. daily),

    and a third group ( n = 11) received SC-236 (3 mg/kg p.o. daily). A survival study was

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    performed. The median survival in the control group was 16 days, compared with 23 days

    for the dexamethasone group and 23 days for the COX-2 inhibitor group. Kaplan-Meier

    analysis on pairwise group comparisons showed improved survival that was statistically

    significant for each treatment group compared with the control group (log-rank test P =

    0.009 for dexamethasone to control and P = 0.005 for COX-2 to control), and no

    significant difference in survival for the COX-2 compared with dexamethasone (log-rank

    test P = 0.2). These results suggest that a selective COX-2 inhibitor appears to be as

    effective as dexamethasone in prolonging survival in a rat brain tumor model

    Lisa, et-al , 2002 indicated that prostanoids, such as prostaglandins, play a regulatory role

    in several forms of neural plasticity, including long-term potentiation, a cellular model for

    certain

    forms of learning and memory. In these experiments, the significance

    of the COXisoforms cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2) in post-training

    memory processes was assessed. Adult male Long-Evans rats underwent an eight-trial

    (30-sec intertrial interval) training session on a hippocampus-dependent (hidden platform)

    or dorsal striatal-dependent (visible platform) tasks in a water maze. After the

    completionoftraining, rats received an intraperitoneal injection of the nonselective COX

    inhibitor indomethacin, the COX-1-specific inhibitor piroxicam, the COX-2-specific

    inhibitor N -[2-cyclohexyloxy-4-nitrophenyl]-methanesulfonamide (NS-398), vehicle

    (45% 2-hydroxypropyl- -cyclodextrin in distilled water), or saline. On a two-trial

    retention test session 24 h later, latency to mount the escape platform was used as a

    measure of memory. In the hidden platform task, the retention test escape latencies of rats

    administered indomethacin (5 and 10 mg/kg) or NS-398 (2 and 5 mg/kg) were

    significantly higher than those of vehicle-treated rats, indicating an impairment in

    retention. Injections of indomethacin or NS-398 that were delayed 2 h post-training had

    no effect on retention. Post-training indomethacin or NS-398 had no influence on

    retention of the visible platform version of the water maze at any of the dosesadministered. Furthermore, selective inhibition of COX-1 via post-training piroxicam

    administration had no effect on retention of either task. These findings indicate that COX-

    2 is a required biochemical component mediating the consolidation of hippocampal-

    dependent memory

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    MATERIALS AND METHODS

    3.1. Retrieval of Protein Sequence of Cox 2 in Homo sapiens:

    Protein sequence of cox 2 in Homo sapiens was done from National Center Of Biotechnology information( www.ncbi.nlm.nih.gov/). The sequence of protein was in

    fasta formet.

    3.2 Homology Modelling :

    Homology modelling is required when the exact structure of the protein is not

    available.The structure of cyclooxygenase 2 was also unavailable,so homology modeling

    was required.It is also known as comperative modelling.Here we model themolecule(protein) from amino acid sequence by following a protocol to model.The amino

    acid sequence is query or target sequence.Homo;ogy modeling techniques depend on

    identificatiction of one or more stuctures known as template,which resembles the

    sructure of query sequence.The sequence alignment and template stucture are used to

    produce a structural model of the target.Usually sequence similarity corresponds to high

    structural similarity.

    Different softwares are used for Homology Modelling such as SWISS MODEL

    SERVER.,CPH MODEL SERVER.,MODELLER etc. In this project Swiss Model server

    is used for Homology Modelling.The methodology for homology modeling with swiss

    Model Server is:

    3.2.1. BLAST

    BLAST (Basic Local Alignment Search Tool),( www.ncbi.nlm.nih.gov/BLAST)is a tool by

    which we can find alignment between our query in form of nucleotide or protein

    sequence,against the database of BLAST.The results show us the extent to which our

    query sequence matches the sequences stored in the BLAST database.In case our

    sequence is a novel entry,it does not show any results.Here I carried out protein-protein

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    BLAST of my query sequence,against pdb(protein data bank);which consists of amino

    acid sequences of the proteins submitted in pdb .The results generated by BLAT were

    furthur used for the modeling of the protein. After we get BLAST results we carry out

    CLUSTAL W.

    3.2.2. CLUSTAL W

    CLUSTAL-W (www.ebi.ac.uk/clustalw/) is a multiple sequence alignment programme

    for DNA or proteins.It provides multiple sequence alignment forgiven sequence.It gives

    the match between the query sequences and allows us to have the idea of best match

    between our target sequence and template.This informationis furthur used in swiss

    model.Evolutionary relationships can be viewed by cladograms or phylograms.

    3.2.3. Swiss Model:

    It is totally automated protein structure homology modeling server ,accessible via

    ExPASy web server or from swiss pdb viewer.(www.swissmodel.expasy.org//SWISS-

    MODEL.html).

    SWISS MODEL SERVER: It is used for final modeling of protein,using results of

    CLUSTAL-W.Basically there are three moes os SWISS MODEL,which are:

    1. First approach mode:it only requires a single amino acid sequence information as input

    data.The server automatically selects suitable template.However the user may specify

    upto five template structures either from ExPDB library,or opload co-ordinate files.The

    process starts if atleast one template sequence has a identity of more than 25% with

    submitted target sequence.The reliability of model decreases as sequence identity

    decreases.

    2. Alignment Mode:it is done by submitting a sequence alignment.The ser predicts the

    target sequence and the one ,which is structurally known protein FROM ExPDB

    library.The server builds yhe model according to given alignment.

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    3. Project Mode:here user submits a manually optimized modeling request to SWISS

    MODEL server The starting moe is a Deep View project file.It contains superposed

    template structures and alignment between target and template.It allows template

    selection or gap placement in the alignment.It can also be used to improve the output of

    first approach mode.

    Here alignment mode of SWISS MODEL was used to predict structure of cox 2 model.

    There are certain steps to be followed in this process,which are:

    Retrieval of protein seuence from NCBI in FASTA format.

    Protein BLAST of protein sequence obyained in last step against pdb(protein databank).

    Selecting the second,third,fourth match results and obtaining their FASTA format of

    sequence.

    Puting the results obtained in last step alongwith target protein sequence of protein

    in a notepad.The sequences obtained in last steo are pot\entail te,plates.

    Open CLUSTAL W page and paste the sequence obtained in last step in window

    displayed and submit.

    Open SWISS MODEL SERVER page and paste the sequence in window and

    submit.

    The results are obtained,asve the result file with (.pdb) extension,to save a pdb file.

    Open the saved file with rasmol viewer to view 3-D image of the modeled protein.

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    3.3 Retrieval of inhibitor against Cox-2:

    Inhibitor against Cox-2 protein retrieved through two major sources.

    1. BRENDA (www.brenda.uni-koeln.de) is the main collection of enzyme functionaldata available to the scientific community.BRENDA is maintained and developed at the

    institute of Biochemistry at the University of Cologne

    2. NCBI Pubchem Compound : PubChem Structure Search allows PubChem

    Compound Database to be queried using a chemical structure. Chemical structure queries

    may be sketched using the PubChem Sketcher. You may also specify the structural query

    input by PubChem Compound Identifier (CID), SMILES, SMARTS, InChI, Molecular

    Formula, or by upload of a supported structure file format.

    This standardizing allows NCBI to compute chemical parameters and similarity

    relationships between compounds. The compounds are grouped into levels of chemical

    similarity from most general to most specific: same bonding connectivity and any

    tautomer; same bonding connectivity; same stereochemistry; same isotopes; and same

    stereochemistry and isotopes. PubChem Compound also indexes these chemicals using

    34 fields, many of which represent computed chemical properties such as the number of

    chiral centers, the number of hydrogen bond donors/acceptors, molecular formula and

    weight, total formal charge, and octanol-water partition coefficients (XlogP). These

    groups are provided as Entrez links that allow similar compounds to be retrieved quickly

    3.3 Building of 3d structure (PDB file) of Inhibitors:

    2D structure of potent inhibitors are obtained by submitting the CID no to the NCBIs

    Pubchem compound and convert it into SDF format then convert it into PDB format to

    get the 3D-structure.

    Procedure of converting 2D-structure into 3D-structure

    1) To select SDF format from NCBI.

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    Open google and enter NCBI home page.

    Choose pubchem compound from search drop-down menu.

    Type CID no.

    When answers come ,Change display format to SDFand save it

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    3.5 Docking Of Flexible Ligands to the Receptors

    For docking the flexible ligands to the receptors following softwares can be used whichare listed below :

    SN Name License Term Platform Keyword1 Autodock Commercial UNIX,LINUX,SGI GA/LGA,MC2 Affinity Commercial SGI Monte Carlo

    method3 Dock Vision Commercial LINUX.IRIS MC,GA4 DOT(Daughter

    of Turnip)

    Free Supercomputers,UNIX

    5 Flex X Commercial UNIX Fragnent Based6 Shape E-mail request UNIX Structure and

    chemistry of

    molecular

    surface7 LEAPFROG Commercial SGI ligand design8 Q site Commercial UNIX,LINUX,SGI Mixed

    quantum and

    molecular

    mechanics9 HINT Commercial Windows

    2000,SGI,LINUX

    Hydropathic

    interaction10 GOLD Free evaluation UNIX GA

    3.3.2 Cygwin : It is a collection of free software tools originally developed from

    Cygnus solutionsto allow various versions of Microsoft windows to act similarto a

    Linux operating system.As Autodock is programmed to run on Linux operating system,so

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    for those systems which run on windows,cygwin is a must.It can be freely downloaded

    from the internet.

    3.3.3. AUTODOCK: Autodock is a suite of automated docking tools. It is designed to

    predict how small molecules, such as substrates or drug candidates, bind to a receptor of

    known 3D structure. AutoDock actually consists of two main programs: AutoDock

    performs the docking of the ligand to a set of grids describing the target protein; Auto

    Grid pre-calculates these grids. In additions to using them for docking, the atomic affinity

    grids can be visualized. This can help, for example, to guide organic synthetic chemists

    design better binders .

    1.Autogrid.

    2.Autodock.

    3.3.3.1 . AUTOGRID :

    A.Peparing a Ligand for Autodock :

    i.In autodock page,go to ligand and in it click on input.

    ii.In input click on open AD3.

    iii.Go to your folder and open the (.pdb) file of the inhibitor.

    iv.Go to Ligand again in autodock window and in it Torsion Tree and click ondetect

    route.

    v.In Ligand select Torsion Tree and click on Choose Torsionand click on done.

    vi.Go to Ligand again and select Torsion Tree and select Set number Of

    Torsions.The number of torsions

    vii.Set number of torsions less than or equal to 6 and click on Dismiss.

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    viii.Go to Logand and in it to Output and then click on Save As PDBQ.Then go to

    your folder a save your this file as (inhibitor name.out.pdbq).

    B. Preparing A Macromolecule For Autodock:

    i.Go to Grid and in it click on Macromolecule and in it click on Open AG3.

    ii.Open the (.pdb) file from your folder and click on OK.

    iii.Now save this file as protein name.pdbqs.

    iv.Come back to autodock window and press shift key+n to visualize the protein on

    screen.

    C.Preparing The Grid Parameter File:

    i.Go to Grid and select Set Map Types and in it select Choose Ligand AG3.

    ii.Now select the inhibitor file.

    iii.Now click on Ligand and then click on Accept.

    iv.Go to Grid and selectGrid Box.

    v.On the window that opens,set x,y,z co-ordinate axes so that the macromolecule is

    completely covered.You can rotate the molecule by pressing shift+right click of mouse.

    vi.On the same window,click on File and there click on Saving Current Setting.

    vii.Go to Grid again and in it go to Output,then click on SaveGPF(AG3)

    viii.Save this file in your folder as protein name.gpf.

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    ix.Go to Grid and in it go to Edit Grid and clik it,then click on Accept.

    x.Go to your folder and copy the path of your folder eg(C:\probir) and open the (.gpf) file

    in your folder wit wordpad and paste this path followed by \ on left of wherever you

    find protein name in this file.It is to be noted that there should not be any gap between

    path and protein name.

    xi.Click on Save in this window after you finish.

    3.3.3.2.AUTODOCK :

    A.Startimg Autodogrid:

    i.Go to Run and in it click on Run Autogrid.

    ii.On the window that opens on the first Browse option click and select autogrid.exe

    file.

    iii.Then in second Browse option click and go to your folder and open the (.gpf) file.

    iv.Back to autogrid, select the entire bottom line(i.e. the path) of the Browse window

    and press cntrl+c.

    v.Open Cygwin and in it go to Edit and Paste the path copied and press Enter.

    B.Preparing A docking Parameter For Autodock:

    i.Click on Docking on the the autodock window.

    ii.In it select on Macromolecule and in it click on Choose AD3.

    iii.Select your protein in the window that opens and click on OK.

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    iv.Click on Select Macromolecule and click on window that opens twice.

    v.Go to Docking and in it go to Ligand and in it click on Choose (AD3).

    vi.On the window that opens click and select the ligand.

    vii.Click on Select Ligand and click on Accept on the window.

    viii.Go to docking again and selectSearch Parameterand in it click on Genetic

    Algorithm.Click Accept on yhe window that opens.

    ix.Go to Docking again and in it click on Docking Parameters.Click on Accept on

    the window that opens.

    x.Go to Docking again and in it select Output and in it click on Lamarkian

    GA(AD3).Then go to your folder and save the file as (inhibitor name.dpf).

    xi.Go to your folder and copy the path of (.dpf) file.

    xi.Open this (.dpf) file in wordpad and paste the copied path everywhere you find

    inhibitor name,followed by \ i.e.path+\,on left of the inhibitor name.Continue till you

    reach on yhe line with move and here do the same.

    xii.Save the page.

    C.Starting Autodock:

    i.Back to autodock,click on Run and in it click on Run Autodock.

    ii.On the window that opens on first Browse option,click it and open the autodock.exe

    file.

    iii.On the second Browse option,click and go to your folder and open the the (.dpf) file.

    iv.Come back to Browse window and copy the path at the bottom by selecting it and

    then pressing cntrl+c.

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    v.Open Cygwin and go to Edit and click on Paste .

    vi.Press Enter to run Autodock.

    D.Analysing Autodock Results:

    i.Click on Analyse on the autodock window and in it click on Docking.

    ii.Go to your folder and open the (.dlg) file. And click ok.

    iii.Now go to Macromolecule in Analyse and go to your folder and open the (.pdbqs)

    file of the target.

    iv.Press Shift+n to visualize the macromolecule on the screen.

    v.Go to Conformation in Analyse and in it click on Load,a box appears.

    vi.Go to Conformation again and click on Play,another window opens.

    vii.In the Play window,click on (&) sign ,a new window opens.

    viii.Now on the first window that came on pressing Load go to its second line and click

    it.It shows the docking energy and various other docking parameters.Note it.The more

    negative dock energy,the better inhibitor is;positive dock energies(if found) are neglected

    as it is not a proper result.

    ix.Now go to the window which came in Play,in it click on the direction buttons to

    analyse each of the ten active sites.It gives information about various parameters on a

    particular active site.Here we also search for hydrogen bonds which are shown on the

    bottom of that window and we can also find the amino acid to which the ligand binds.

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    x.Expand the bottom of the box which we got on clicking Load.

    xi.Click on Write Current Coords and go to your folder and save this file as

    (inhibitor.docked.pdbq).

    xii.Record the results.

    3.4. PMV (Python Molecular Viewer):

    Python Molecular Viewer is a tool to view the binding of hydrogen bonds in the target

    molecule.It helps to visualise and analyse the hudrogen bonds.The process of operation of PMV is enlisted below:

    Procedure For Operation Of PMV:

    i.Open PMV.

    ii.Go to File and click on Browse Command.

    iii.In the window that opens,click on pmv

    .

    iv.In the adjacent window click on trace command,then click on Load.Again in the

    adjacent window of pmv click on hbond command and load this too.

    v.Go to file in PMV and click on Read Molecule nad go to your folder and open

    (protein name.pdbqs) file.

    vi.Go to Compute and in it go to Trace.

    vii.Here click on Compute Extrude Trace.

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    xxiii.Click ok.

    xxiv.Go to File and in it go to Read Molecule.

    xxv.By last step go to your folder and open the (inhibitor.docked.pdbq) file and open it.

    xxvi.Go to Select and in it click on Direct Select.

    xxvii.In the window that opens click on Molecule and in it click on your

    macromolecule.

    xxviii.Click on Molecule again and now click on the ligand or the inhibitor.

    xxix.Click on Dismiss.

    xxx.Go to Display.

    xxxi.In it click on Stick and Balls.

    xxxii.In the window that opens set Stick Quality to 15 and set Ball Quality to 15.

    xxxiii.Click ok.

    xxxiv.Go to Color and click on By Atom Type.

    xxxv.In the next window click on Stick and Balls.

    xxxvi.Click ok.

    xxxvii.Go to Hydrogen Bond.

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    xxxvii.In it go to Build.

    xxxviii.In it click on Set Parms+Build.

    xxxix.In the window that opens click on specify two sets.

    xxxx.In the next window click on,in the top list under Molecule List click it and select

    macromolecule.

    xxxxi.I the bottom Molecule List,click it and select the ligand.

    xxxxii.Click ok.

    xxxxiii.Go to H bond and in it click on Display.

    xxxxiv.In it click on as lines.

    xxxxv.Click Dismiss in the window that opens.

    xxxxvi.Again go to Display and click on Cylinders.

    xxxxvii.In the window that opens adjust bond length and bond radius of the hydrogen

    bond by using mouse,to a suitable size.

    xxxxviii.Go to Dj vu GUI and click on camera in the lower window.

    xxxxix.On the window which lengthens, click on Set Background Color.

    xxxxx. Click on SW and then click on S.

    xxxxxi.Go to File of PMV and click on save as.

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    RESULTS AND DISCUSSION

    Retrieval of protein sequence of COX2 (cyclooxygenase2).

    >gi|3915797|sp|P35354|PGH2_HUMAN Prostaglandin G/H synthase 2 precursor(Cyclooxygenase-2) (COX-2) (Prostaglandin-endoperoxide synthase 2)(Prostaglandin H2 synthase 2) (PGH synthase 2) (PGHS-2) (PHS II)

    MLARALLLCAVLALSHTANPCCSHPCQNRGVCMSVGFDQYKCDCTRTGFYGENCSTPEFLTRIKLFLKPT

    PNTVHYILTHFKGFWNVVNNIPFLRNAIMSYVLTSRSHLIDSPPTYNADYGYKSWEAFSNLSYYTRALPP

    VPDDCPTPLGVKGKKQLPDSNEIVEKLLLRRKFIPDPQGSNMMFAFFAQHFTHQFFKTDHKRGPAFTNGL

    GHGVDLNHIYGETLARQRKLRLFKDGKMKYQIIDGEMYPPTVKDTQAEMIYPPQVPEHLRFAVGQEVFGL

    VPGLMMYATIWLREHNRVCDVLKQEHPEWGDEQLFQTSRLILIGETIKIVIEDYVQHLSGYHFKLKFDPE

    LLFNKQFQYQNRIAAEFNTLYHWHPLLPDTFQIHDQKYNYQQFIYNNSILLEHGITQFVESFTRQIAGRV

    AGGRNVPPAVQKVSQASIDQSRQMKYQSFNEYRKRFMLKPYESFEELTGEKEMSAELEALYGDIDAVELY

    PALLVEKPRPDAIFGETMVEVGAPFSLKGLMGNVICSPAYWKPSTFGGEVGFQIINTASIQSLICNNVKG

    CPFTSFSVPDPELIKTVTINASSSRSGLDDINPTVLLKERSTEL

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    BLAST Result:-

    Fig4.1: BLAST RESULT

    4.2.ClustalW Results:

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    Results of searchNumber of sequences 4Alignment score 20349Sequence format PearsonSequence type aaClustalW version 1.83JalView Output file clustalw-20070718-12352061.outputAlignment file clustalw-20070718-12352061.alnGuide tree file clustalw-20070718-12352061.dndYour input file clustalw-20070718-12352061.input

    .

    Scores Table

    SeqA Name Len(aa) SeqB Name Len(aa) Score

    1 seq1 604 2 seq2 587 861 seq1 604 3 seq3 552 88

    1 seq1 604 4 seq4 552 87

    2 seq2 587 3 seq3 552 99

    2 seq2 587 4 seq4 552 99

    3 seq3 552 4 seq4 552 99

    CLUSTAL W (1.83) multiple sequence alignment

    seq2 -----------------ANPCCSNPCQNRGECMSTGFDQYKCDCTRTGFYGENCTTPEFL 43

    seq4 -----------------ANPCCSNPCQNRGECMSTGFDQYKCDCTRTGFYGENCTTPEFL 43

    seq3 -----------------ANPCCSNPCQNRGECMSTGFDQYKCDCTRTGFYGENCTTPEFL 43

    seq1 MLARALLLCAVLALSHTANPCCSHPCQNRGVCMSVGFDQYKCDCTRTGFYGENCSTPEFL 60

    seq2 TRIKLLLKPTPNTVHYILTHFKGVWNIVNNIPFLRSLIMKYVLTSRSYLIDSPPTYNVHY 103

    seq4 TRIKLLLKPTPNTVHYILTHFKGVWNIVNNIPFLRSLIMKYVLTSRSYLIDSPPTYNVHY 103

    seq3 TRIKLLLKPTPNTVHYILTHFKGVWNIVNNIPFLRSLIMKYVLTSRSYLIDSPPTYNVHY 103

    seq1 TRIKLFLKPTPNTVHYILTHFKGFWNVVNNIPFLRNAIMSYVLTSRSHLIDSPPTYNADY 120

    seq2 GYKSWEAFSNLSYYTRALPPVADDCPTPMGVKGNKELPDSKEVLEKVLLRREFIPDPQGS 163

    seq4 GYKSWEAFSNLSYYTRALPPVADDCPTPMGVKGNKELPDSKEVLEKVLLRREFIPDPQGS 163

    313

    http://www.ebi.ac.uk/jalview2/http://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.outputhttp://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.alnhttp://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.dndhttp://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.inputhttp://www.ebi.ac.uk/jalview2/http://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.outputhttp://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.alnhttp://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.dndhttp://www.ebi.ac.uk/cgi-bin/jobresults/clustalw/clustalw-20070718-12352061.input
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    seq3 GYKSWEAFSNLSYYTRALPPVADDCPTPMGVKGNKELPDSKEVLEKVLLRREFIPDPQGS 163

    seq1 GYKSWEAFSNLSYYTRALPPVPDDCPTPLGVKGKKQLPDSNEIVGKLLLRRKFIPDPQGS 180

    seq2 NMMFAFFAQHFTHQFFKTDHKRGPGFTRGLGHGVDLNHIYGETLDRQHKLRLFKDGKLKY 223

    seq4 NMMFAFFAQHFTAQFFKTDHKRGPGFTRGLGHGVDLNHIYGETLDRQHKLRLFKDGKLKY 223

    seq3 NMMFAFFAQHFTHQFFKTDHKRGPGFTRGLGHGVDLNHIYGETLDRQHKLRLFKDGKLKY 223

    seq1 NMMFAFFAQHFTHQFFKTDHKRGPAFTNGLGHGVDLNHIYGETLARQRKLRLFKDGKMKY 240

    seq2 QVIGGEVYPPTVKDTQVEMIYPPHIPENLQFAVGQEVFGLVPGLMMYATIWLREHQRVCD 283

    seq4 QVIGGEVYPPTVKDTQVEMIYPPHIPENLQFAVGQEVFGLVPGLMMYATIWLREHQRVCD 283

    seq3 QVIGGEVYPPTVKDTQVEMIYPPHIPENLQFAVGQEVFGLVPGLMMYATIWLREHNRVCD 283

    seq1 QIIDGEMYPPTVKDTQAEMIYPPQVPEHLRFAVGQEVFGLVPGLMMYATIWLREHNRVCD 300

    seq2 ILKQEHPEWGDEQLFQTSKLILIGETIKIVIEDYVQHLSGYHFKLKFDPELLFNQQFQYQ 343

    seq4 ILKQEHPEWGDEQLFQTSKLILIGETIKIVIEDYVQHLSGYHFKLKFDPELLFNQQFQYQ 343seq3 ILKQEHPEWGDEQLFQTSRLILIGETIKIVIEDYVQHLSGYHFKLKFDPELLFNQQFQYQ 343

    seq1 VLKQEHPEWGDEQLFQTSRLILIGETIKIVIEDYVQHLSGYHFKLKFDPELLFNKQFQYQ 360

    seq2 NRIASEFNTLYHWHPLLPDTFNIEDQEYSFKQFLYNNSILLEHGLTQFVESFTRQIAGRV 403

    seq4 NRIASEFNTLYHWHPLLPDTFNIEDQEYSFKQFLYNNSILLEHGLTQFVESFTRQIAGRV 403

    seq3 NRIASEFNTLYHWHPLLPDTFNIEDQEYSFKQFLYNNSILLEHGLTQFVESFTRQIAGRV 403

    seq1 NRIAAEFNTLYHWHPLLPDTFQIHDQKYNYQQFIYNNSILLEHGITQFVESFTRQIAGRV 420

    seq2 AGGRNVPIAVQAVAKASIDQSREMKYQSLNEYRKRFSLKPYTSFEELTGEKEMAAELKAL 463

    seq4 AGGRNVPIAVQAVAKASIDQSREMKYQSLNEYRKRFSLKPYTSFEELTGEKEMAAELKAL 463seq3 AGGRNVPIAVQAVAKASIDQSREMKYQSLNEYRKRFSLKPYTSFEELTGEKEMAAELKAL 463

    seq1 AGGRNVPPAVQKVSQASIDQSRQMKYQSFNEYRKRFMLKPYESFEELTGEKEMSAELEAL 480

    seq2 YSDIDVMELYPALLVEKPRPDAIFGETMVELGAPFSLKGLMGNPICSPQYWKPSTFGGEV 523

    seq4 YSDIDVMELYPALLVEKPRPDAIFGETMVELGAPFSLKGLMGNPICSPQYWKPSTFGGEV 523

    seq3 YSDIDVMELYPALLVEKPRPDAIFGETMVELGAPFSLKGLMGNPICSPQYWKPSTFGGEV 523

    seq1 YGDIDAVELYPALLVEKPRPDAIFGETMVEVGAPFSLKGLMGNVICSPAYWKPSTFGGEV 540

    seq2 GFKIINTASIQSLICNNVKGCPFTSFNVQDPQPTKTATINASASHSRLDDINPTVLIKRR 583

    seq4 GFKIINTASIQSLICNNVKGCPFTSFNVQ------------------------------- 552

    seq3 GFKIINTASIQSLICNNVKGCPFTSFNVQ------------------------------- 552

    seq1 GFQIINTASIQSLICNNVKGCPFTSFSVPDPELIKTVTINASSSRSGLDDINPTVLLKER 600

    seq2 STEL 587

    seq4 ----

    seq3 ----

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    seq1 STEL 604

    4.3 SWISS MODEL Result: _________________

    4.4. INHIBITOR TABLE:

    Table 4.1 : List of inhibitors against COX2(cyclooxygenase2).

    Inhibitor

    Name

    Structure IUPAC Name IC50

    Value

    Side

    effects

    Clinical

    phase

    Sodium

    Parecoxib

    sodium N-[4-(5-

    methyl-3-phenyl-1,2-

    oxazol-4-

    yl)phenyl]sulfon

    ylpropanimidate

    0.005

    +/-0.1

    micro

    moles

    /L

    Gastro

    -

    intesti

    nal

    infecti

    on

    Phase IV

    celecoxib 4-[5-(4-methylphenyl)-

    3-

    (trifluoromethyl)pyrazol-1-

    yl]benzenesulfon

    amide

    4.8

    +/-0.4

    nmol/

    L

    Gastro

    intesti

    nal

    infecti

    on,ulc

    ers

    Phase III

    Valdecoxi

    b

    4-(5-methyl-3-

    phenyl-1,2-

    oxazol-4-

    yl)benzenesulfon

    amide

    0.001

    +/-

    0.3mi

    croM

    Hyper

    algesia

    :increa

    sed

    sensitivity to

    pain

    Phase III

    333

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    Rofecoxib 4-(4-methylsulfonylp

    henyl)-3-phenyl-

    5H-furan-2-one

    (4.7+/

    -0.5)

    nmol/

    L

    headac

    he,ble

    eding

    Phase III

    Doxorubic

    in

    (7S,9R)-7-

    [(2S,4S,5S,6S)-

    4-amino-5-

    hydroxy-6-

    methyl-oxan-2-

    yl]oxy-6,9,11-trihydroxy-9-(2-

    hydroxyacetyl)-

    4-methoxy-8,10-

    dihydro-7H-

    tetracene-5,12-

    dione

    0.42+/

    -0.3

    micro

    M

    Hair

    loss,fa

    tigue

    Phase II

    Etoricoxib 5-chloro-2-(6-methylpyridin-3-

    yl)-3-(4-methylsulfonylp

    henyl)pyridine

    1.1+/-

    0.1

    micro

    M

    Fatigu

    e and

    dizines

    s

    Phase III

    Lumiracox

    ib

    2-[2-[(2-chloro-

    6-fluoro-

    phenyl)amino]-

    5-methyl-

    phenyl]acetic

    acid

    0.06+/

    -0.3

    micro

    M

    dizzine

    ss or

    sleepin

    ess

    Phase III

    343

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    Nimesulid

    e

    N-(4-nitro-2-

    phenoxy-

    phenyl)methanes

    ulfonamide

    0.071

    +/-0.5

    micro

    M

    Liver

    enlarg

    ement,

    liver

    toxific

    ation

    Phase III

    Dipyrone sodium [(1,5-dimethyl-3-oxo-

    2-phenyl-

    pyrazol-4-yl)-

    methyl-

    amino]methanes

    ulfonate

    4.6+/-

    0.3

    micro

    M

    agranulo

    cytosis

    Phase II

    Thalidomi

    de

    2-(2,6-dioxo-3-

    piperidyl)isoindo

    le-1,3-dione

    3.1+/-

    0.3

    micro

    M

    constipa

    tion,

    dizzines

    s

    Phase III

    Etodolac 1,8-diethyl-1,3,4,9-

    tetrahydropyrano

    -[3,4-b]indole-1-

    acetic acid.

    2.9+/-

    0.4

    micro

    M

    allergi

    c

    reactio

    n

    Phase II

    (8E)-8-

    [hydroxy-[(5-

    methyl-1,3-

    thiazol-2-

    yl)amino]methyl

    idene]-9-methyl-

    10,10-dioxo-

    10 6-thia-9-

    azabicyclo[4.4.0

    ]deca-1,3,5-

    trien-7-one

    4.51+/

    -0.8

    micro

    M

    headach

    e,

    fatigue

    related

    to

    anemia

    Phase III

    353

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    ibuprofen 2-[4-(2-methylpropyl)ph

    enyl]propanoic

    acid

    3.8

    +/-0.7

    micro

    M

    ulcerati

    ons,

    abdomi

    nal pain

    Phase III

    Naproxen sodium (2S)-2-(6-

    methoxynaphtha

    len-2-

    yl)propanoate

    3.4

    +/-0.4

    micro

    M

    headach

    e, and

    dizzines

    s

    Phase II

    Table4.4 shows the chemical formula, molecular weight, chemical structure and IUPAC

    name of different inhibitors which show interaction with COX2(cyclooxygenase2).

    protein. The IUPAC name of the inhibitor is further used in making pdb file of that

    inhibitor.

    4.5 Docking of ligand to receptor

    4.5.1 AUTODOCK RESULTS

    Table 4.2: Docked energies and other parameters of the inhibitors using Auto Dock

    docking program.

    363

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    Table 4.2 shows the results displayed by Autodock docking program displaying Free-energy, Intermolecular-energy, Internal-energy and finally Docked energy of the COX2

    (cyclooxygenase2) with its inhibitor. Autodock docking results show that Bellnamine

    inhibitor of COX2 (cyclooxygenase2) shows best interaction with the

    COX2(cyclooxygenase2), with its docked energy of 19.79.

    4.6 Python Molecular Viewer (PMV) Results:

    SN Inhibitor

    Name

    Docked

    Energy

    Ref

    RMS

    Free

    Energy

    Intermolecular

    Energy

    Internal

    Energy1 Etodolac -15.1 37.3 -16.4 -17.67 2.572 Nimesulide -2.01 35.3 -1.73 -2.98 0.96

    3 Etoricoxib -15.1 37.3 -16.74 -17.67 2.574 Melocoxib -17.49 55.47 -16.56 -18.12 0.635 Valdecoxib -19.3 31.18 -11.04 -19.13 0.06 Doxorubicin -16.78 24.05 -18.97 -19.9 3.127 Thalidomide -11.84 36.61 -11.22 -11.84 0.08 Ibuprofen -8.87 25.68 -9.49 -10.74 1.879 Naproxene -19.79 32.53 -11.7 -19.79 0.010 Rofecoxib -19.1 28.56 -16.92 -19.1 0.0

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    Fig 4.6.1.: Hydrogen Bond Formed Between Proteins Active Site and Inhibitor

    Etorocoxib

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    Fig 4.6.2.: Hydrogen Bond Formed Between Proteins Active Site and Inhibitor Etodolac

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    Fig 4.6.3.: Hydrogen Bond Formed Between Proteins Active Site and Inhibitor Nimesulide

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    Fig4.6.4.: Hydrogen Bond Formed Between proteins Active Site and Inhibitor Doxorubicin

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    Fig4.6.5.: Hydrogen Bond Formed Between Proteins Active Site and Inhibitor

    Melocoxib

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    Fig 4.6.6.: Hydrogen Bond Formed Between Proteins Active Site and Inhibitor

    Thalidomide

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    Fig 4.6.7.: Hydrogen Bond Formed Between Proteins Active Site and Inhibitor

    Rofecoxib

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    Fig 4.6.8.: Representation Of The Interaction between the protein and Valdecoxib

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    Fig 4.6.9.: Representation Of The Interaction between the protein and Ibuprofen

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    Fig 4.6.10.: Representation Of The Interaction between the protein and Naproxene

    DISCUSSION

    Rational Drug Designing Strategies reduce a lot of time ,money and energy as compared

    to other hit and trial methods.According to recent trends mathematical modelling has

    become very valuable.The use of sophasticated softwares and tools greatly help in this

    process,helping furthur development in research and development in this field. The

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    main concern in AutoDock is computation of docking energy,which essentially should be

    less than zero.The more negative the docking energy,the better it is.

    Fig 4.7. Shows the relative docked energies of various inhibitors with the target protein.

    From the figure we can conclude that Naproxene has the minimum docked

    energy,hence the best inhibitor

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    CONCLUSION

    After the project work on rational drug design for COX 2,the conclusion is that out of all

    the inhibitors chosen for the docking,naproxene emerged to be be the best inhibitor for the protein COX 2.The precise reason for it was its docking energy which was the

    lowest(docked energy=-19.79),among all other inhibitors used.Hence the conclusion is

    that naproxene is the best inhibitor,for COX 2.Hence the task was completed

    successfully.

    Cancer is a major threat to the worlds health.There are many reasons and factors

    responsible for induction of cancer.COX 2 is also one of those factors responsible for the

    induction of cancer.Basically COX 2 is an enzyme present in our body which is anintegral part of the inflamatory responses of our immune system.If due to any reason the

    secretion of this enzyme crosses a perticular threshold,it can cause tumor formation.This

    tumor may under the influence of mitogens and other carcinogens can cause cancer.The

    threat if cancer bein cause by COX 2 has spread globally and many bio-pharma giants

    have launched several medicines eg:Celebrex,Vioxx etc.The main concern is to reduce

    the over-expression of COX 2 and not to terminate its secretion completely.There are

    many inhibitors which are used for the inhibition of over secretion of COX 2.Out of

    many inhibitors,some are rejected due to their side effects,as gastric ulcer in case of

    aspirin.However there is no inhibihitor which is fully perfect and without any

    sideeffects.Nevertheless we try to reduce the burden on the general health of the patient

    to the maximum extent possible.Hence ,newer drugs are required which have the same

    efficacy as the older one but are having fewer side effects.The intial phase of discovering

    a new drug nowadays is by using CADD.This method has greately reduced the time

    ,energy and money involved in the traditional methods.After a drug has been designined

    in-silico,its furthur verification is done,as stated earlier in laoratories.This method of

    using computer to design the drugs has indeed hastened the process of drug discovery.

    Rational Drug Designing Strategies reduce a lot of time ,money and energy as compared

    to other hit and trial methods.According to recent trends mathematical modelling has

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    REFERENCES

    Andrew,T.C., Shuji,O., Charles,S.F.,(2005), Aspirin and the Risk of Colorectal Cancer

    in Relation to the Expression of COX-2, The New England Journal Of Medicine, 5: 685-

    693.

    Anna,M., Francesca,M.D., Duccio,R., Arganini,L., Taddei,A. F.,and Mennonna,

    (2007), Cyclooxygenase-2 (COX-2) Overexpression in Meningiomas: Real Time PCR

    and Immunohistochemistry, Applied Immunohistochemistry & Molecular Morphology ,

    15: 187-192.

    Barbara,W., Kuzbicki, and Lukasz, (2007), Cyclooxygenase-2 (COX-2): first

    immunohistochemical marker distinguishing early cutaneous melanomas from benign

    melanocytic skin tumours, Melanoma Research , 17: 139-145.

    Jana,P., Samia,S., Stuart,A.G., Susan,E., and Kathryn,C.,A(2002), cyclooxygenase-2(COX-2) inhibitor compared with dexamethasone in a survival study of rats with

    intracerebral 9L gliosarcomas, Nuero Oncology , 4: 22-25.

    Jeroen,H., Elise S.V.H., Robert,V.,Thomas,A., and Maximal (2005), COX-2 and

    ppRb expression in neurons occurs during early Braak stages prior to the maximal

    activation of astrocytes and microglia in Alzheimer's disease, Journal of

    Neuroinflammation , 2: 27-28.

    Lisa,A.T., Mark,G.P., and Nicolas,G.B.,(2002), Post-Training Cyclooxygenase-2

    (COX-2) Inhibition Impairs Memory Consolidation, Learning Memory ,. 9: 41-47.

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    Marco,L., Sonia,V., Andreas,T., and Maria,D.,(2005), Cyclooxygenase-2 (COX-2) is

    frequently expressed in multiple myeloma and is an independent predictor of poor

    outcome,Blood, 6: 880-888 .

    Phuong,O.T.T., Catherine,E.G., and Robertson,P.R.,(2002), Inhibition of Interleukin-

    1-Induced COX-2 and EP3 Gene Expression by Sodium Salicylate Enhances Pancreatic

    Islet -Cell Function, Diabetes, 51: 112-118.

    Robert,S.B., Michael,L., and Ross P., (2005), Cardiovascular events associated with

    rofecoxib in a colorectal adenoma chemoprevention trial, New England Journal of

    Medicine, , 11: 1092-1102.

    Commonly used websites:

    www.ncbi.nlm.nih.gov/

    www.pdb.org

    http://redpoll.pharmacy.ualbarta.ca/drugbank. http//:Swissmodel.expasy.org/workspace

    Journals:

    Applied Immunochemistry And Molecular Morphology.

    Blood

    Cancer Biology

    Diabetes

    Health Affairs

    Journal Of Neuroinfllammation.

    Learning Memory

    Melanoma Research

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    Nuero Oncology

    The New England Journal of Medicine

    Neuro Oncology

    The New England Journal Of Medicine

    Thieme Docking

    Abbreviations:

    NCBI-National Center Of Biotechnology Information.

    COX-Cyclooxygenase.

    PDB-Protein Data Bank.

    BLAST-Basic Local Alignment Search Tool.CADD-Computer Aided Drug Designing.

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    .

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