ColabFold: making protein folding accessible to all
Milot MirditaQuantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany. [email protected]Konstantin SchützeSchool of Biological Sciences, Seoul National University, Seoul, South KoreaYoshitaka MoriwakiCollaborative Research Institute for Innovative Microbiology, The University of Tokyo, Tokyo, JapanLim HeoDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USASergey OvchinnikovFAS Division of Science, Harvard University, Cambridge, MA, USA. [email protected]Martin SteineggerArtificial Intelligence Institute, Seoul National University, Seoul, South Korea. [email protected]
2022en
ABI
Аннотация
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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