Ian Humphreys

We find predicted interactions which can be linked to GPCRs, cancers, and other genetic diseases. We map SNP data into the interfaces, and assemble higher order oligomers to explore some of these systems, but there’s much more to look at on our website: prodata.swmed.edu/humanPPI

We enriched the evolutionary information by assembling ‘omicMSAs’ from genomic databases, curated a domain-domain distillation dataset of 220k clusters that resemble heterodimers interactions, and trained a a new lightweight RF2-PPI for interactome screening to find 18k PPIs.

Here’s our human protein-protein interactome. We mined the SRA, devised a new distillation dataset for protein complexes, trained a new version of RF2 to screen millions of protein pairs, and identify > 18k binary interactions. biorxiv.org/content/10.1101/…

A couple of weeks ago our work on predicting protein-protein interactions in 19 pathogenic bacteria came out in @NatureMicrobiol! Here we screened millions of potential pairs and identified ~1,300 presumed to be novel interactions. nature.com/articles/s41564-0…

We use recent advances in proteome-wide coevolution analysis and breakthroughs in artificial-intelligence-based structure modeling to systematically identify and model the core eukaryotic interactome starting from 8.3million pairs. #RoseTTAFold #AlphaFold science.org/doi/10.1126/scie…