EMBO Practical Course: Computational analysis of protein-protein interactions: From sequences to networks

Mon, 2015-09-28 to Sat, 2015-10-03
What is the workshop about? Recent growth in protein-protein interaction (PPI) data provides new opportunities for gaining biological insights. This course aims to train participants to use bioinformatics tools for predicting and analysing PPIs from their own datasets. The course will give trainees direct access to developers of several key tools, who are included amongst the trainers (Pfam, ELM, IUPRED, Cytoscape, STRING, CHIMERA). The course will start by focussing on prediction of PPI modules from protein sequences. We will highlight differences in structure, function, and bioinformatics between globular (protein "domains") and non-globular (found in intrinsically disordered peptide regions e.g. short protein-binding regions involved in signal transduction and other biological functions) modules. Understanding differing roles these modules can play in PPIs is key to unravelling the dynamism of cellular systems. The focus then shifts to large PPI datasets, emphasising a network perspective. Our understanding of interactions between proteins has recently expanded greatly. In particular, we now understand much better the diversity, and importance, of interactions involving intrinsically disordered protein (IDP) regions. This has led to considerable growth in bioinformatics tools for working with IDP data. Thus, an important component of the course involves lectures on the theory and practical implications of these developments in our understanding of protein-protein interactions. All the tools that will be used in the course are free, so trainees will have continued access for their research after the course and at no cost. What will I Learn? Genomic & Computation Biology Systems Biology Protein Modules Cell Signalling Protein Interaction Networks Protein Sequence Analysis Target Audience We expect that students will be actively conducting research in a field involving some or all aspects of the material taught in the course. Thus, our selection criteria will focus on estimating the degree to which the students can use what is taught in the course, to be applied to their current research projects. We will also look at the previous exposure students have had to bioinformatics and computational approaches to biology. We will select those most likely to understand the material presented bearing in mind that it is unlikely that students will have advanced bioinformatics experience.
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Location
The Genome Analysis Centre
Norwich
NR4 7UH
United Kingdom
Fees: 
Free, 400 EUR per person