Enhanced sampling methods for molecular dynamics simulations

J Hénin, T Lelièvre, MR Shirts, O Valsson… - arxiv preprint arxiv …, 2022 - arxiv.org
Enhanced sampling algorithms have emerged as powerful methods to extend the utility of
molecular dynamics simulations and allow the sampling of larger portions of the …

Universal QM/MM approaches for general nanoscale applications

KS Csizi, M Reiher - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
Quantum mechanics/molecular mechanics (QM/MM) hybrid models allow one to address
chemical phenomena in complex molecular environments. Whereas this modeling approach …

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 …

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 …

Predicting biomolecular binding kinetics: A review

J Wang, HN Do, K Koirala, Y Miao - Journal of Chemical Theory …, 2023 - ACS Publications
Biomolecular binding kinetics including the association (k on) and dissociation (k off) rates
are critical parameters for therapeutic design of small-molecule drugs, peptides, and …

Lessons for Oral bioavailability: how Conformationally flexible cyclic peptides enter and cross lipid membranes

SM Linker, C Schellhaas, AS Kamenik… - Journal of medicinal …, 2023 - ACS Publications
Cyclic peptides extend the druggable target space due to their size, flexibility, and hydrogen-
bonding capacity. However, these properties impact also their passive membrane …

Modern alchemical free energy methods for drug discovery explained

DM York - ACS Physical Chemistry Au, 2023 - ACS Publications
This Perspective provides a contextual explanation of the current state-of-the-art alchemical
free energy methods and their role in drug discovery as well as highlights select emerging …

[HTML][HTML] The atomistic modeling of light-harvesting complexes from the physical models to the computational protocol

E Cignoni, V Slama, L Cupellini… - The Journal of Chemical …, 2022 - pubs.aip.org
The function of light-harvesting complexes is determined by a complex network of dynamic
interactions among all the different components: the aggregate of pigments, the protein, and …

The Role of Force Fields and Water Models in Protein Folding and Unfolding Dynamics

ALM Fischer, A Tichy, J Kokot… - Journal of Chemical …, 2024 - ACS Publications
Protein folding is a fascinating, not fully understood phenomenon in biology. Molecular
dynamics (MD) simulations are an invaluable tool to study conformational changes in …

Manifold learning in atomistic simulations: a conceptual review

J Rydzewski, M Chen, O Valsson - Machine Learning: Science …, 2023 - iopscience.iop.org
Analyzing large volumes of high-dimensional data requires dimensionality reduction: finding
meaningful low-dimensional structures hidden in their high-dimensional observations. Such …