Molecular dynamics simulations in drug discovery and pharmaceutical development

OMH Salo-Ahen, I Alanko, R Bhadane, AMJJ Bonvin… - Processes, 2020 - mdpi.com
Molecular dynamics (MD) simulations have become increasingly useful in the modern drug
development process. In this review, we give a broad overview of the current application …

Kinetics from metadynamics: Principles, applications, and outlook

D Ray, M Parrinello - Journal of Chemical Theory and …, 2023 - ACS Publications
Metadynamics is a popular enhanced sampling algorithm for computing the free energy
landscape of rare events by using molecular dynamics simulation. Ten years ago, Tiwary …

Deep learning collective variables from transition path ensemble

D Ray, E Trizio, M Parrinello - The Journal of Chemical Physics, 2023 - pubs.aip.org
The study of the rare transitions that take place between long lived metastable states is a
major challenge in molecular dynamics simulations. Many of the methods suggested to …

Enhanced-sampling simulations for the estimation of ligand binding kinetics: current status and perspective

K Ahmad, A Rizzi, R Capelli, D Mandelli… - Frontiers in molecular …, 2022 - frontiersin.org
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 …

Dynamical reweighting for biased rare event simulations

BG Keller, PG Bolhuis - Annual Review of Physical Chemistry, 2024 - annualreviews.org
Dynamical reweighting techniques aim to recover the correct molecular dynamics from a
simulation at a modified potential energy surface. They are important for unbiasing …

Predicting protein–ligand binding and unbinding kinetics with biased MD simulations and coarse-graining of dynamics: Current state and challenges

S Wolf - Journal of Chemical Information and Modeling, 2023 - ACS Publications
The prediction of drug–target binding and unbinding kinetics that occur on time scales
between milliseconds and several hours is a prime challenge for biased molecular …

Data-driven classification of ligand unbinding pathways

D Ray, M Parrinello - … of the National Academy of Sciences, 2024 - National Acad Sciences
Studying the pathways of ligand–receptor binding is essential to understand the mechanism
of target recognition by small molecules. The binding free energy and kinetics of protein …

Anisotropic friction in a ligand-protein complex

W Cai, M Jäger, JT Bullerjahn, T Hugel, S Wolf… - Nano Letters, 2023 - ACS Publications
The effect of an externally applied directional force on molecular friction is so far poorly
understood. Here, we study the force-driven dissociation of the ligand-protein complex biotin …

Multisecond ligand dissociation dynamics from atomistic simulations

S Wolf, B Lickert, S Bray, G Stock - Nature communications, 2020 - nature.com
Coarse-graining of fully atomistic molecular dynamics simulations is a long-standing goal in
order to allow the description of processes occurring on biologically relevant timescales. For …

ReNeGate: A reaction network graph-theoretical tool for automated mechanistic studies in computational homogeneous catalysis

A Hashemi, S Bougueroua, MP Gaigeot… - Journal of chemical …, 2022 - ACS Publications
Exploration of the chemical reaction space of chemical transformations in multicomponent
mixtures is one of the main challenges in contemporary computational chemistry. To remove …