Coarse-grained modelling out of equilibrium

T Schilling - Physics Reports, 2022 - Elsevier
Abstract Active matter, responsive (“smart”) materials and materials under time-dependent
load are systems out of thermal equilibrium. To construct coarse-grained models for such …

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 …

An efficient path classification algorithm based on variational autoencoder to identify metastable path channels for complex conformational changes

Y Qiu, MS O'Connor, M Xue, B Liu… - Journal of chemical …, 2023 - ACS Publications
Conformational changes (ie, dynamic transitions between pairs of conformational states)
play important roles in many chemical and biological processes. Constructing the Markov …

Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era

L Chang, A Mondal, B Singh… - Wiley …, 2024 - Wiley Online Library
Peptide‐based drugs offer high specificity, potency, and selectivity. However, their inherent
flexibility and differences in conformational preferences between their free and bound states …

Adaptive CVgen: Leveraging reinforcement learning for advanced sampling in protein folding and chemical reactions

W Shen, K Wan, D Li, H Gao, X Shi - … of the National Academy of Sciences, 2024 - pnas.org
Enhanced sampling techniques have traditionally encountered two significant challenges:
identifying suitable reaction coordinates and addressing the exploration–exploitation …

What Markov state models can and cannot do: Correlation versus path-based observables in protein-folding models

E Suárez, RP Wiewiora, C Wehmeyer… - Journal of chemical …, 2021 - ACS Publications
Markov state models (MSMs) have been widely applied to study the kinetics and pathways
of protein conformational dynamics based on statistical analysis of molecular dynamics (MD) …

[HTML][HTML] On the advantages of exploiting memory in Markov state models for biomolecular dynamics

S Cao, A Montoya-Castillo, W Wang… - The Journal of …, 2020 - pubs.aip.org
Biomolecular dynamics play an important role in numerous biological processes. Markov
State Models (MSMs) provide a powerful approach to study these dynamic processes by …

Non-Markovian Dynamic Models Identify Non-Canonical KRAS-VHL Encounter Complex Conformations for Novel PROTAC Design

Y Qiu, RP Wiewiora, JA Izaguirre, H Xu, W Sherman… - JACS Au, 2024 - ACS Publications
Targeted protein degradation (TPD) is emerging as a promising therapeutic approach for
cancer and other diseases, with an increasing number of programs demonstrating its …

Integrative generalized master equation: A method to study long-timescale biomolecular dynamics via the integrals of memory kernels

S Cao, Y Qiu, ML Kalin, X Huang - The Journal of Chemical Physics, 2023 - pubs.aip.org
The generalized master equation (GME) provides a powerful approach to study
biomolecular dynamics via non-Markovian dynamic models built from molecular dynamics …

Markov state model approach to simulate self-assembly

A Trubiano, MF Hagan - Physical Review X, 2024 - APS
Computational modeling of assembly is challenging for many systems, because their
timescales can vastly exceed those accessible to simulations. This article describes the …