Enhanced-Sampling Simulations for the Estimation of Ligand Binding Kinetics: Current Status and Perspective
Year: 2022
Type: article
Abstract: The dissociation rate ( k off ) associated with ligand unbinding events from proteins is a parameter of fundamental importance in drug design. Here we review recent major advancements in molecular simulation methodologies for the prediction of k off . Next, we discuss the impact of the potential energy function models on the accuracy of calculated k off values. Finally, we provide a perspective from high-performance computing and machine learning which might help improve such predictions.
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,537
Award: G5838761801
OpenAlex ID: W4285744851
