Characterizing Discrete Binding Conformations of T4 L99A via Markov State Modeling

11 March 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

As a model system, the binding pocket of the L99A mutant of T4 lysozyme has been the subject of numerous computational free energy studies. However, some previous studies have failed to fully sample and account for the observed changes in the binding pocket of T4 L99A upon binding of a congeneric ligand series, limiting the accuracy of results. In this work, we establish definitions for the conformational states of the T4 L99A binding pocket based on the dynamics of the system rather than from experimental crystal structures. Using these definitions, we estimate the timescales for the transitions between states in this protein, which will have important implications for future binding studies in this system. We also discuss the need to develop enhanced sampling methods to generally account for significant changes in protein conformation due to relatively small ligand perturbations.

Keywords

protein dynamics
markov state modeling
structure-based drug design

Supplementary materials

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Title
Supporting Information: Characterizing Discrete Binding Conformations of T4 L99A via Markov State Modeling
Description
The Supporting Information includes plots of the timescales and slow transitions for each system and snapshots of trajectory frames along various points of the TICA surface.
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