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These slides were presented at the ELIXIR UK node update meeting in Hinton, Cambridge on 14th of October 2014
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European Life Sciences Infrastructure for Biological Information www.elixir-‐europe.org
Cath Brooksbank, EMBL-‐EBI Christine Orengo, UCL
Structural bioinformatics training for ELIXIR-‐UK
Structural Bioinformatics
Residues in contact with protein partner
Active site
<10% human proteins known structure ~70-80 can predict structures
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Genome3D are coordinating the ELIXIR Structural Bioinformatics Sector in collaboration with Cath Brooksbank at EBI
Protein structure classification/analysis Alexey Murzin – LMB (Cambridge) -‐ SCOP
Christine Orengo – UCL -‐ CATH Structural annotation of genome sequences and 3D models
Tom Blundell – Cambridge University -‐ FUGUE Christine Orengo – Gene3D
Julian Gough – Bristol University -‐ SUPERFAMILY David Jones – UCL -‐ pDomThreader
Michael Sternberg – Imperial, London -‐ PHYRE
Established 2010 with BBSRC funding -‐ http//:genome3d.eu
Our remit…
(i) representing the sector at initial Training the Trainers (TTT) events (ii) organisation of an initial workshop that performs a training gap analysis for the sector (iii) fund-‐raising for resources that aim to plug these training gaps.
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6 months part-‐time funding from the BBSRC
Richard Grandison at the EBI working with Sarah Morgan and Cath Brooksbank at Train Online, EBI
Achieved so far… Survey of 100 UK groups who need or deliver training in structural bioinformatics
2 day workshop at the EBI – established a ‘Training Network’ and champions in 8 themes Questionnaire and notification of our training network sent to 60 major european groups in structural bioinformatics to identify training material 4 meetings to review existing training material, identify gaps and plan mechanisms for organising the data
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Purpose of the Workshop
• To reach agreement on the training needs of our target audiences: • clinical researchers • bench-‐based molecular life scientists • structural biologists • structural bioinformaticians • computational chemists (industry) • medicinal chemists (industry)
• To develop a plan of how to meet these needs
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Two-‐day workshop (February 2014)
Target audiences and their needs
Gaps in structural bioinformatics
training and how to fill them
Opportunities going forward
• Divided audiences in to two groups: -‐ Generalists -‐ clinical researchers, molecular life scientists, medicinal chemists
-‐ Specialists -‐ structural bioinformaticians, structural biologists, computational chemists
25 attendees, 3 breakouts
What are the common learning needs of the target audience
• How is the quality of a protein structure reported
• How can you predict the structure of a protein if the structure has not been determined
• How can you assess the quality of a predicted structure
• What can be inferred from a protein structure at different levels of quality eg • Impacts of a mutation on the stability or function • Affinity for a particular ligand
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Two-‐day workshop (February 2014)
Established a ‘structural bioinformatics network’ with thematic areas and champions for each area.
Structural biology Protein structure prediction Protein protein complexes Protein ligand Interactions Structure-‐based sequence analysis Structure comparison/analysis Structure to function Molecular dynamics
Sameer Velankar, Roman Laskowski Mike Sternberg, David Jones Franca Fraternali, Sarah Teichmann John Overington, Edith Chan Geoff Barton, Jim Proctor Christine Orengo, Alexey Murzin Mark Wass, Janet Thornton Francesco Gervasio
Structural Bioinformatics Sector Activities
January : designed survey of needs sent to 200 groups across the UK
February (EBI) : 2-‐day workshop, 25 participants April (UCL) : reviewed training material, designed
a survey to identify further material, sent to 60 European groups (30 responses)
June (EBI) : reviewed training material, identified gaps, planned training workflows
August (UCL) : detailed design of workflows and metadata for TESS, Niall Beard from TeSS present
October (UCL) : sample training workflow complete, request for funding planned
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Analysis of Existing Training Material
Structure annotation : PDB and TrainOnline Homology modeling : undergrad material; SWISS-‐MOD Structure prediction : significant gaps Protein interactions/docking : significant gaps Protein ligand docking : significant gaps Impacts of genetic variations : significant gaps
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protein network Search protein(s) and interactions
Database Integration
Specific applications
3D structure
tutorial
tutorial
tutorial
link
link
tutorial
link
Interactome3D
with structure /
model?
STRING
Yes
No
Visualisation & Functional annotation
tutorial
Interface analysis
tutorial
tutorial
tutorial
Protein-protein interaction network analysis
PDBePISA HOTREGION
Complex prediction
BLAST
Structural analysis
Output
*BLAST: Basic Local Alignment Search Tool (sequence similarity)
link
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Metadata on Training Material for TESS aggregator
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Resource link
tutorial paper URL inputs outputs endorsements
• citations (age)
• grading (elementary,medium, advanced)
• traffic lights
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What are the next steps…….
• Discussions with TeSS team on how the metadata is integrated in the platform
• Continue to survey material and design the workflows
• Establish a broader working group across europe (already in discussion with Torsten Schwede, Gert Vriend, others)
• Discussion with BBSRC and other funding agencies to obtain funds to take the work forward
• We need an 18 month post who will work with champions in each theme to build the workflows and populate the metadata tables
• Another survey of industry, medical researchers, experimental biologists
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