Computation of temperature-dependent dissociation rates of metastable protein–ligand complexes

epub ahead of print
  • Molecular simulations are often used to analyse the stability of protein–ligand complexes. The stability can be characterised by exit rates or using the exit time approach, i.e. by computing the expected holding time of the complex before its dissociation. However determining exit rates by straightforward molecular dynamics methods can be challenging for stochastic processes in which the exit event occurs very rarely. Finding a low variance procedure for collecting rare event statistics is still an open problem. In this work we discuss a novel method for computing exit rates which uses results of Robust Perron Cluster Analysis (PCCA+). This clustering method gives the possibility to define a fuzzy set by a membership function, which provides additional information of the kind ‘the process is being about to leave the set’. Thus, the derived approach is not based on the exit event occurrence and, therefore, is also applicable in case of rare events. The novel method can be used to analyse the temperature effect of protein–ligand systems through the differences in exit rates, and, thus, open up new drug design strategies and therapeutic applications.
Metadaten
Author:Natalia Ernst, Konstantin Fackeldey, Andrea Volkamer, Oliver Opatz, Marcus Weber
Document Type:Article
Parent Title (English):Molecular Simulation
Year of first publication:2019
DOI:https://doi.org/https://doi.org/10.1080/08927022.2019.1610949