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Benchmarking of AlphaFold2 accuracy self-estimates as indicators of empirical model quality and ranking: a comparison with independent model quality assessment programmes.

Nicholas S EdmundsAhmet G GencLiam James McGuffin
Published in: Bioinformatics (Oxford, England) (2024)
The ModFOLD9 and ModFOLDdock quality assessment servers are available at https://www.reading.ac.uk/bioinf/ModFOLD/ and https://www.reading.ac.uk/bioinf/ModFOLDdock/, respectively. A docker image is available at https://hub.docker.com/r/mcguffin/multifold.
Keyphrases
  • working memory
  • cross sectional
  • deep learning
  • quality improvement
  • network analysis