# ColabFold: making protein folding accessible to all

“ColabFold: making protein folding accessible to all” (2022), by Milot Mirdita et al. Genetics and Biochemistry research paper. Original abstract below, unchanged. A free PDF is available.

- Authors: Milot Mirdita, Konstantin Schütze, Yoshitaka Moriwaki, Lim Heo, Sergey Ovchinnikov, Martin Steinegger
- Published: May 30, 2022
- Field: Genetics and Biochemistry
- DOI: https://doi.org/10.1038/s41592-022-01488-1
- Free PDF: https://www.nature.com/articles/s41592-022-01488-1.pdf

## 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. 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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