Course at EMBL-EBI

Structural bioinformatics

Structural biology, determining the three-dimensional shapes of biomacromolecules and their complexes, can tell us a lot about how these molecules function and the roles they play within a cell. Bioinformatics data derived from structure determination experiments enables life-science researchers to address a wide variety of questions. For example, it aids the understanding of how mutations in a gene might alter a protein’s shape, disrupt a catalytic site, or alter the binding affinity of a pharmaceutical compound.

This course explores bioinformatics data resources and tools for the interpretation and exploitation of biomacromolecular structures. It will focus on how best to analyse available structural data to gain useful information given specific research contexts. The course content will investigate the impact of genetic variation on structure, predicting protein structure and function, and exploring interactions with other macromolecules as well as with low-MW compounds. Participants will also have an opportunity to explore protein docking using HADDOCK.

Who is this course for?

This course is for biological researchers who want to learn more about the application of structural information in their work and how to use some of the key bioinformatics resources that are available. No previous experience in the field of structural bioinformatics is required, however a basic knowledge of protein structure would be of benefit. Participants should be familiar with basic Linux operations - http://www.ee.surrey.ac.uk/Teaching/Unix/ - and have some experience of bioinformatics tools and databases.

What will I learn?

Learning outcomes

At the end of this course, trainees will be able to:

  • Access and browse a range of structural data repositories
  • Determine whether appropriate structural information exists about a given molecule or complex, applying available structure-quality information
  • Build a structural model for a protein which has a structurally characterised relative and evaluate its quality
  • Evaluate the potential impact of genetic variation on a structure
  • Predict the function of a protein based on sequence and structure data
  • Explore protein complex modelling approaches

Trainers

Ajay Mishra
EMBL-EBI, UK
Gerard Kleywegt
EMBL-EBI, UK
Christine Orengo
University College London, UK
David Armstrong
EMBL-EBI, UK
Deepti Gupta
EMBL-EBI, UK
Rob Finn
EMBL-EBI, UK
Lorna Richardson
EMBL-EBI, UK
Franca Fraternali
Kings College London, UK
Osman Salih
EMBL-EBI, UK
Alexandre Bonvin
Utrecht University, Netherlands
Lawrence Kelley
Imperial College London
Anna Gaulton
EMBL-EBI, UK
Andrew Martin
University College London, UK
James Stephenson
EMBL-EBI, UK
Madan Babu
MRC Laboratory of Molecular Biology
Rodrigo Vargas Honorato
Utrecht University, Netherlands
Ian Sillitoe
University College London
Sjors Scheres
MRC Laboratory of Molecular Biology, Cambridge, UK
This course has ended

16 – 20 September 2019
European Bioinformatics Institute
United Kingdom
£680
Contact
Marina Pujol

Organisers
  • Sarah Morgan
    EMBL-EBI, UK
  • Christine Orengo
    University College London, UK
  • Gerard Kleywegt
    EMBL-EBI, UK
  • Ajay Mishra
    EMBL-EBI, UK

Share this event with: