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- Introduction
- Methods for exploring newly-annotated species in Ensembl Rapid Release
- Genomic variants
- Discovering biological information from mass spectrometry-based proteomics
- Methods in bioimage analysis
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Approaches for using protein-protein interaction networks for biological discovery
It is hard to think of a biological process in which protein-protein interactions (PPIs) do not play an essential role. Thus, in collective efforts over the last two decades comprehensive sets of human PPIs have been curated from the scientific literature or identified in systematic, proteome-wide mapping efforts. These resources build large PPI networks with an amazing potential to advance our understanding of individual gene function towards a systems understanding of cellular organisation.
This webinar with Katja Luck (Group leader, Institute of Molecular Biology, Mainz), recorded on 27 April 2022, provides important insights into technical biases that should be considered when using PPI data for system-wide analyses. It explains theory and practical considerations when performing statistical tests on PPI networks to determine whether selected proteins (i.e. that share a disease association) tend to interact with each other or for the prediction of gene function using guilt-by-association principles.
By the end of the webinar recording you will be able to:
- Identify potentials and limits in using protein-protein interaction networks for biological discovery
- Determine whether selected proteins tend to interact with each other
- Use protein-protein interaction networks to predict gene function and protein complex membership
After familiarising yourself with the opportunities and challenges in using PPIs for biological discovery, you will find introduction to concepts, methods and tools useful in building and analysing biological networks on the next chapter.