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ColabFold: making protein folding accessible to all. 2022
Milot Mirdita, and
Konstantin Schütze, and
Yoshitaka Moriwaki, and
Lim Heo, and
Sergey Ovchinnikov, and
Martin Steinegger
Quantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany. milot.mirdita@mpinat.mpg.de.
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 .
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