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  ColabFold: making protein folding accessible to all

Mirdita, M., Schutze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2022). ColabFold: making protein folding accessible to all. Nature Methods, 19(6), 679-682. doi:10.1038/s41592-022-01488-1.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-3B77-D Version Permalink: https://hdl.handle.net/21.11116/0000-000C-3B78-C
Genre: Journal Article

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s41592-022-01488-1.pdf (Publisher version), 4MB
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 Creators:
Mirdita, Milot1, Author           
Schutze, Konstantin, Author
Moriwaki, Yoshitaka, Author
Heo, Lim, Author
Ovchinnikov, Sergey, Author
Steinegger, Martin, Author
Affiliations:
1Research Group of Quantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, Göttingen, DE, ou_3350226              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2022-05-302022-06
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41592-022-01488-1
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Title: Nature Methods
  Other : Nature Methods
Source Genre: Journal
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Publ. Info: New York, NY : Nature Publishing Group
Pages: - Volume / Issue: 19 (6) Sequence Number: - Start / End Page: 679 - 682 Identifier: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556