Hu.MAP3.0: Atlas of human protein complexes by integration of > 25,000 proteomic experiments

ABSTRACT: Macromolecular protein complexes carry out most cellular functions. Unfortunately, we lack the subunit composition for many human complexes. To address this gap we integrated >25,000 mass spectrometry experiments using a machine learning approach to identify > 15,000 human protein complexes. We show our map of protein complexes is highly accurate and more comprehensive than previous maps, placing nearly 70% of human proteins into their physical contexts. We globally characterize our complexes using mass spectrometry based protein co-variation data (ProteomeHD.2) and identify co-varying complexes suggesting common functional associations. hu.MAP3.0 generates testable functional hypotheses for 472 uncharacterized proteins which we support using AlphaFold modeling. Additionally, we use

SUBMITTER: Samantha, N Fischer 

PROVIDER: S-SCDT-10_1038-S44320-025-00121-5 | biostudies-other |

REPOSITORIES: biostudies-other