Quantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
School of Biological Sciences, Seoul National University, Seoul, South Korea.
Nat Methods. 2022 Jun;19(6):679-682. doi: 10.1038/s41592-022-01488-1. Epub 2022 May 30.
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 通过将 MMseqs2 的快速同源搜索与 AlphaFold2 或 RoseTTAFold 相结合,提供了蛋白质结构和复合物的加速预测。ColabFold 的搜索速度快 40-60 倍,并且优化了模型的使用,使得在具有一个图形处理单元的服务器上,每天可以预测近 1000 个结构。结合 Google Colaboratory,ColabFold 成为了一个免费且易于访问的蛋白质折叠平台。ColabFold 是一个开源软件,可在 https://github.com/sokrypton/ColabFold 上获得,其新颖的环境数据库可在 https://colabfold.mmseqs.com 上获得。