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Accelerating Molecular Dynamics Enrichments of High-Affinity Ligands for Proteins.

Cong LiuEmiliano BriniKen A Dill
Published in: Journal of chemical theory and computation (2021)
Molecular docking algorithms are used to seek the most active compounds from a pool of ligands. In principle, molecular dynamics (MD) simulations with accurate physical potentials and sampling could yield better enrichments, but they are computationally expensive. Here, we describe a method called MELD-Bracket that utilizes biased replica exchange ladders in MD in order to compete different ligands against each other within a fast bracket style "binding tournament". MELD-Bracket finds best-binders rapidly when ligands are well separated in their binding affinities.
Keyphrases
  • molecular dynamics
  • molecular docking
  • density functional theory
  • molecular dynamics simulations
  • machine learning
  • physical activity
  • dna binding
  • transcription factor