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 …
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
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 …
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
Conformational changes (ie, dynamic transitions between pairs of conformational states)
play important roles in many chemical and biological processes. Constructing the Markov …
play important roles in many chemical and biological processes. Constructing the Markov …
Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era
Peptide‐based drugs offer high specificity, potency, and selectivity. However, their inherent
flexibility and differences in conformational preferences between their free and bound states …
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
Enhanced sampling techniques have traditionally encountered two significant challenges:
identifying suitable reaction coordinates and addressing the exploration–exploitation …
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
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) …
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
Biomolecular dynamics play an important role in numerous biological processes. Markov
State Models (MSMs) provide a powerful approach to study these dynamic processes by …
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
Targeted protein degradation (TPD) is emerging as a promising therapeutic approach for
cancer and other diseases, with an increasing number of programs demonstrating its …
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
The generalized master equation (GME) provides a powerful approach to study
biomolecular dynamics via non-Markovian dynamic models built from molecular dynamics …
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 …
timescales can vastly exceed those accessible to simulations. This article describes the …