Using metadynamics to explore complex free-energy landscapes
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 …
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 …
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 …
atomistic simulations, allowing long-time phenomena to be studied with accessible …
Enhanced sampling in molecular dynamics
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 …
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
Identifying a reduced set of collective variables is critical for understanding atomistic
simulations and accelerating them through enhanced sampling techniques. Recently …
simulations and accelerating them through enhanced sampling techniques. Recently …
Combining stochastic resetting with Metadynamics to speed-up molecular dynamics simulations
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 …
efficiency critically depends on the identification of collective variables that capture the slow …
Data-driven collective variables for enhanced sampling
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 …
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
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 …
phase space spanned by the positions and velocities of the constituent atoms. Molecular …
Rare event kinetics from adaptive bias enhanced sampling
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 …
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 …
structures comprising their conformational ensemble. The nature of these conformations and …