ColabFold: making protein folding accessible to all
Milot Mirdita(Max Planck Institute for the Study of Religious and Ethnic Diversity), Konstantin Schütze(Seoul National University), Yoshitaka Moriwaki(The University of Tokyo), Lim Heo(Michigan State University), Sergey Ovchinnikov(Harvard University Press), Martin Steinegger(Seoul National University)
Cited by 9,536Open Access
Abstract
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 .