Using metadynamics to explore complex free-energy landscapes

G Bussi, A Laio - Nature Reviews Physics, 2020 - nature.com
Metadynamics is an atomistic simulation technique that allows, within the same framework,
acceleration of rare events and estimation of the free energy of complex molecular systems …

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 the slow modes for rare events sampling

L Bonati, GM Piccini… - Proceedings of the …, 2021 - National Acad Sciences
The development of enhanced sampling methods has greatly extended the scope of
atomistic simulations, allowing long-time phenomena to be studied with accessible …

Enhanced sampling in molecular dynamics

YI Yang, Q Shao, J Zhang, L Yang… - The Journal of chemical …, 2019 - pubs.aip.org
Although molecular dynamics simulations have become a useful tool in essentially all fields
of chemistry, condensed matter physics, materials science, and biology, there is still a large …

A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar

L Bonati, E Trizio, A Rizzi, M Parrinello - The Journal of Chemical …, 2023 - pubs.aip.org
Identifying a reduced set of collective variables is critical for understanding atomistic
simulations and accelerating them through enhanced sampling techniques. Recently …

Combining stochastic resetting with Metadynamics to speed-up molecular dynamics simulations

O Blumer, S Reuveni, B Hirshberg - Nature Communications, 2024 - nature.com
Metadynamics is a powerful method to accelerate molecular dynamics simulations, but its
efficiency critically depends on the identification of collective variables that capture the slow …

Data-driven collective variables for enhanced sampling

L Bonati, V Rizzi, M Parrinello - The journal of physical chemistry …, 2020 - ACS Publications
Designing an appropriate set of collective variables is crucial to the success of several
enhanced sampling methods. Here we focus on how to obtain such variables from …

Machine learning for collective variable discovery and enhanced sampling in biomolecular simulation

H Sidky, W Chen, AL Ferguson - Molecular Physics, 2020 - Taylor & Francis
Classical molecular dynamics simulates the time evolution of molecular systems through the
phase space spanned by the positions and velocities of the constituent atoms. Molecular …

Rare event kinetics from adaptive bias enhanced sampling

D Ray, N Ansari, V Rizzi, M Invernizzi… - Journal of Chemical …, 2022 - ACS Publications
We introduce a novel enhanced sampling approach named on-the-fly probability enhanced
sampling (OPES) flooding for calculating the kinetics of rare events from atomistic molecular …

Computational methods for exploring protein conformations

JR Allison - Biochemical Society Transactions, 2020 - portlandpress.com
Proteins are dynamic molecules that can transition between a potentially wide range of
structures comprising their conformational ensemble. The nature of these conformations and …