Author:
Ahmad Katya,Rizzi Andrea,Capelli Riccardo,Mandelli Davide,Lyu Wenping,Carloni Paolo
Abstract
The dissociation rate (koff) 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 ofkoff. Next, we discuss the impact of the potential energy function models on the accuracy of calculatedkoffvalues. Finally, we provide a perspective from high-performance computing and machine learning which might help improve such predictions.
Subject
Biochemistry, Genetics and Molecular Biology (miscellaneous),Molecular Biology,Biochemistry
Cited by
36 articles.
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