bioRxivSynthetic BiologyPreprint
AlphaFold Database expands to proteome-scale quaternary structures
Yewon HaniD, Maxim I. TsenkoviD, Niccolò Alberto Elia VenanziiD, Sooyoung ChaiD, Nilkanth PateliD, Sreenath Sasidharan NairiD, Razan AbbaraiD, Damian BertoniiD, Alejandro ChacóniD, Nick Dietrich, Boris Fomitchev, Yonathan GoldtzvikiD, Darren Jason HsuiD, Jeannie AustiniD, Joseph I. J. EllawayiD, Kieran DidiiD, Gyuri KimiD, Hyunbin KimiD, Oleg Kovalevskiy, Dariusz Lasecki, Agata LaydoniD, Micha LivneiD, Paulyna MagañaiD, Maciej MajewskiiD, Urmila ParamvaliD, , Christian DallagoiD
Abstract
Protein function is governed by molecular interactions, yet structural coverage of these interactions remains sparse. The AlphaFold Protein Structure Database (AFDB) transformed access to accurate monomeric protein structures at scale. Here, we expand the AFDB to quaternary structures by predicting 31M candidate homo- and heterodimeric protein complexes, compiled from 4,777 proteomes, including model- and global health organisms. We established confidence criteria via analysis of experimentally determined structures, resulting in 1.81M high-confidence predictions. These models enabled the discovery of emergent structures and topologies not present in monomeric predictions. Additionally, the top 1% of structural clusters accounted for [~]44% of all complexes, and [~]8.3% of clusters were conserved across multiple domains of life, pointing to a substantial fraction of ancient, universally retained assemblies. Structural search highlighted that high-confidence predictions are anchored in experimental multimer space, yet 31.3% extend beyond detectable PDB coverage. These freely accessible proteome-scale predictions facilitate functional and mechanistic hypothesis generation across biology.
- organism: human
- organism: mouse
- organism: rat
- assay: protein structure
- research focus: protein structure prediction
- research focus: database / resource
- approach: deep learning
- approach: statistical model
- Citations
- 11
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Exploring structural diversity across the protein universe with The Encyclopedia of Domains
Andy M C Lau, Nicola Bordin, … David T. Jones·SciencePeer-reviewed·Oct 31, 2024
- Protein complex prediction with AlphaFold-Multimer
Richard Evans, Michael O’Neill, … Demis Hassabis·bioRxiv·Oct 4, 2021
- Clustering predicted structures at the scale of the known protein universe
Inigo Barrio‐Hernandez, Jingi Yeo, … Martin Steinegger·NaturePeer-reviewed·Sep 13, 2023
- Metagenomic-scale analysis of the predicted protein structure universe
Jingi Yeo, Yewon Han, … Martin Steinegger·bioRxiv·Apr 23, 2025
- AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms
Nicola Bordin, Ian Sillitoe, … Christine Anne Orengo·Communications BiologyPeer-reviewed·Feb 8, 2023
- Unmasking AlphaFold: integration of experiments and predictions in multimeric complexes
Claudio Mirabello, Björn Wallner, … Marta Carroni·bioRxiv·Sep 20, 2023