Abstract
ColabFold offers accelerated protein structure and complex predictions by combining the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold’s 40 - 60× faster search and optimized model use allows predicting close to a thousand structures per day on a server with one GPU. Coupled with Google Colaboratory, ColabFold becomes a free and accessible platform for protein folding. ColabFold is open-source software available at github.com/sokrypton/ColabFold. Its novel environmental databases are available at colabfold.mmseqs.com
Contact milot.mirdita{at}mpibpc.mpg.de, so{at}fas.harvard.edu, martin.steinegger{at}snu.ac.kr
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
- Fully integrated Alphafold-multimer and revised the benchmarks. - Included RoseTTAfold in the benchmarks - Compared colabfold_batch to the AlphaFold2 base system for batch prediction of many proteins
