ColabFold: making protein folding accessible to all

• Published in: Nature methods Vol. 19; no. 6; pp. 679 - 682
• Main Authors: Mirdita, Milot, Schütze, Konstantin, Moriwaki, Yoshitaka, Heo, Lim, Ovchinnikov, Sergey, Steinegger, Martin
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.06.2022; Nature Publishing Group
• Subjects: 631/114/129/2044; 631/114/2397; 631/114/2411; 631/114/794; Accessibility; Accuracy; Bioinformatics; Biological Microscopy; Biological Techniques; Biomedical and Life Sciences; Biomedical Engineering/Biotechnology; Brief Communication; Computers; Databases, Factual; Folding; Freeware; Graphics processing units; Homology; Libraries; Life Sciences; Molecular biology; Open source software; Predictions; Protein Folding; Proteins; Proteomics; Random access memory; Software
• ISSN: 1548-7091; 1548-7105; 1548-7105
• DOI: 10.1038/s41592-022-01488-1

ColabFold offers accelerated prediction of protein structures and complexes by combining the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold’s 40−60-fold faster search and optimized model utilization enables prediction of close to 1,000 structures per day on a server with one graphics processing unit. Coupled with Google Colaboratory, ColabFold becomes a free and accessible platform for protein folding. ColabFold is open-source software available at https://github.com/sokrypton/ColabFold and its novel environmental databases are available at https://colabfold.mmseqs.com . ColabFold is a free and accessible platform for protein folding that provides accelerated prediction of protein structures and complexes using AlphaFold2 or RoseTTAFold.