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AlphaFold2-RAVE: From Sequence to Boltzmann Ranking.

Bodhi P VaniAkashnathan AranganathanDedi WangPratyush Tiwary
Published in: Journal of chemical theory and computation (2023)
While AlphaFold2 is rapidly being adopted as a new standard in protein structure predictions, it is limited to single structures. This can be insufficient for the inherently dynamic world of biomolecules. In this Letter, we propose AlphaFold2-RAVE, an efficient protocol for obtaining Boltzmann-ranked ensembles from sequence. The method uses structural outputs from AlphaFold2 as initializations for artificial intelligence-augmented molecular dynamics. We release the method as an open-source code and demonstrate results on different proteins.
Keyphrases
  • artificial intelligence
  • molecular dynamics
  • machine learning
  • big data
  • deep learning
  • density functional theory
  • amino acid
  • randomized controlled trial
  • protein protein
  • binding protein