Multiple Molecule λ-Dynamics: Probing Drug Resistance with Concurrent Protein and Ligand Perturbations

04 February 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Though commonly used in drug discovery, alchemical free energy calculations have not been extensively used to explore issues of drug resistance caused by missense mutations to a drug target. Unlike traditional methods, λ-dynamics (λD) can evaluate multiple modifications within a single simulation, however, perturbations on more than one molecule, e.g., in a ligand and receptor, have not been performed previously. In an approach referred to as Multiple Molecule λ-Dynamics (MMλD), simultaneous ligand and protein perturbations are performed in a single simulation to sample a small series of ligands bound to native and T315I mutant Abl kinases, a protein target in chronic myelogenous leukemia associated with drug resistance. MMλD agreement with conventional λD calculations and experiment is high, with mean unsigned errors of 0.21 and 0.79 kcal/mol, respectively. Protein-ligand mutant specific conformational sampling is also identified. Collectively, this work demonstrates that MMλD is a valuable tool for drug-resistance drug discovery.

Keywords

λ-dynamics
free energy calculations
drug discovery
drug resistance
protein-ligand binding

Supplementary materials

Title
Description
Actions
Title
Supporting Information
Description
This SI document contains a description of the computational details and a table of computed binding free energies.
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.