source database YeastMap YeastMap jmedina yeast.MAP is a machine-learning framework for identifying Saccharomyces cerevisiae protein complexes from mass spectrometry and other large-scale interaction datasets. Available as a searchable web resource (https://yeast.proteincomplexes.org/), yeast.MAP integrates large-scale AP-MS datasets (Michaelis et al., Nature, 2023), AP-MS evidence scored using a weighted matrix model (Hart et al., BMC Bioinformatics, 2007), and proteome-scale RoseTTAFold structure predictions (Humphreys et al., Science, 2021). search-url: MI:2444 2026-04-24T11:48:39Z