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In silico analysis
• In silico = "performed on computer or via computer simulation.“
• coined in 1989
• in vivo, in vitro, and in situ,
– experiments done in living organisms, outside of living organisms, and where they are found in nature, respectively.
• Defn : “Analysis performed using computers in conjunction with informatics capabilities”.
• first used in public in 1989 in the workshop "Cellular Automata: Theory and Applications" in Los Alamos, New Mexico.
– "DNA and RNA Physicochemical Constraints, Cellular Automata and Molecular Evolution“
• Pedro Miramontes
• In silico has been used in white papers written to support the creation of bacterial genome programs by the
• Commission of the European Community. The first referenced paper where "in silico" appears was written by a
• French team in 1991.[6] The first referenced book chapter where "in silico" appears was written by Hans B.
• Sieburg in 1990 and presented during a Summer School on Complex Systems at the Santa Fe Institute.[7]
• The phrase "in silico" originally applied only to computer simulations that modeled natural or laboratory
• processes (in all the natural sciences), and did not refer to calculations done by computer generically.
Drug discovery with virtual screening
• Potential to speed the rate of discovery reducing expensive lab work and clinical trials.
• Producing and screening drug candidates
• Using EADock, -potential inhibitors to an enzyme associated with cancer activity in silico.
• Differs from use of expensive robotic labs to physically test thousands of diverse compounds a day, following further testing
Cell models
• Efforts to establish computer models of cellular behavior.
• In silico model of tuberculosis to aid in drug discovery -faster than real time simulated growth rates
– phenomena to be observed in minutes rather than months
Genetics
• Digital genetic sequences obtained from DNA sequencing may be
– stored in sequence databases, be analyzed
– digitally altered and/or
– used as templates for creating new actual DNA
Using artificial gene synthesis.
Other examples
In silico computer-based modeling technologies have also been applied in:
• Whole cell analysis of prokaryotic and eukaryotic hosts
– E. coli, B. subtilis, yeast, CHO- or human cell lines
• Bioprocess development and optimization
– optimization of product yields
• Analysis, interpretation and visualization of heterologous data sets from various sources
– genome,
• transcriptome or proteome data