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ColabFold: making protein folding accessible to all

📅 May 30, 2022 👤 Milot Mirdita, Konstantin Schütze, Yoshitaka Moriwaki et al. 📖 Nature Methods 📊 9,615 citations

🤖 Plain-English Summary

ColabFold offers accelerated prediction of protein structures and complexes by combining the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. Coupled with Google Colaboratory, ColabFold becomes a free and accessible platform for protein folding.

🔑 Key Findings

  • 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 .

💡 Why This Matters

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

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📋 Article Details

Category ⚙️ Engineering & Technology
Published May 30, 2022
Journal Nature Methods
Authors Milot Mirdita, Konstantin Schütze, Yoshitaka Moriwaki, Lim Heo, Sergey Ovchinnikov
DOI 10.1038/s41592-022-01488-1
Citations 9,615
Source OpenAlex

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