EMBO Practical Course on Computational Structural Biology - from data to structure to function
Date:Monday 7 - Friday 11 April 2014
Venue:European Bioinformatics Institute (EMBL-EBI) - Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
Participation:Open application with selection
This course aims to teach computational aspects of protein structure determination, validation and analysis. It will cover the background of different structural biology techniques and provide hands-on experience in building a model from X-ray diffraction data. In addition, participants will learn how to critically assess the quality of data and models, and gain expertise in the integration and visualisation of data from different techniques, thus enabling the analysis of protein structure data for functional relationships. The importance of protein structure to drug discovery will also be illustrated with sessions dedicated to small-molecules, protein-ligand docking and model validation.
This course aims to teach computational aspects of protein structure determination, validation and analysis to PhD students and post-docs working on the collection and analysis of protein structure data. The course will be highly interactive and will include many practical sessions. Attendees are strongly encouraged to bring their own data and ideas of work to be addressed during these sessions.
Syllabus, tools and resources
During this course you will learn about:
- Structural data repositories: Protein Data Bank, Electron Microscopy Data Bank
- Tools for model building, refinement and homology modeling: WHATIF, AutoRickshaw, ARP/wARP, and other software
- Tools and resources for drug discovery: ChEMBL, GOLD for protein-ligand docking, PDBeChem, PDBeMotif
- Tools and resources for protein analysis and classification: Pfam, CATH, SCOP, InterPro, PDBeFold, ProFunc
After this course you should be able to:
- Interpret, compare and integrate data obtained from different structural biology techniques
- Build a model from X-ray diffraction data
- Access a range of structural data from leading public repositories
- Critically assess the quality of data and models and select the most appropriate structures for your particular needs
- Use a variety of analysis tools to identify structural similarities that can help identify protein function.