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ColabFold: making protein folding accessible to all.

Milot MirditaKonstantin SchützeYoshitaka MoriwakiLim HeoSergey OvchinnikovMartin Steinegger
Published in: Nature methods (2022)
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 .
Keyphrases
  • protein protein
  • amino acid
  • single molecule
  • high resolution
  • binding protein
  • high throughput
  • machine learning
  • mass spectrometry
  • human health