ColabFold: making protein folding accessible to all

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 o...

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Detalles Bibliográficos
Autores principales: Mirdita, Milot, Schütze, Konstantin, Moriwaki, Yoshitaka, Heo, Lim, Ovchinnikov, Sergey, Steinegger, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184281/
https://www.ncbi.nlm.nih.gov/pubmed/35637307
http://dx.doi.org/10.1038/s41592-022-01488-1
Descripción
Sumario: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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