Journal
NATURE METHODS
Volume 19, Issue 6, Pages 679-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41592-022-01488-1
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Funding
- Max Planck Society
- National Research Foundation of Korea [2021M3A9I4021220] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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ColabFold combines fast homology search and optimized model utilization to offer accelerated prediction of protein structures and complexes, with a processing speed that is 40-60 times faster. It serves as a free and accessible platform for protein folding, capable of predicting close to 1,000 structures per day.
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.cpm/sokrypton/colabfold and its novel environmental databases are available at https://colab-fold.mmseqs.com.
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