[PDF][PDF] Ensemble docking in drug discovery
Ensemble docking corresponds to the generation of an" ensemble" of drug target
conformations in computational structure-based drug discovery, often obtained by using …
conformations in computational structure-based drug discovery, often obtained by using …
Predicting binding free energies: frontiers and benchmarks
Binding free energy calculations based on molecular simulations provide predicted affinities
for biomolecular complexes. These calculations begin with a detailed description of a …
for biomolecular complexes. These calculations begin with a detailed description of a …
[HTML][HTML] A suite of tutorials for the WESTPA rare-events sampling software [Article v1. 0]
The weighted ensemble (WE) strategy has been demonstrated to be highly efficient in
generating pathways and rate constants for rare events such as protein folding and protein …
generating pathways and rate constants for rare events such as protein folding and protein …
Machine learning of coarse-grained molecular dynamics force fields
Atomistic or ab initio molecular dynamics simulations are widely used to predict
thermodynamics and kinetics and relate them to molecular structure. A common approach to …
thermodynamics and kinetics and relate them to molecular structure. A common approach to …
[HTML][HTML] Best practices for alchemical free energy calculations [article v1. 0]
Alchemical free energy calculations are a useful tool for predicting free energy differences
associated with the transfer of molecules from one environment to another. The hallmark of …
associated with the transfer of molecules from one environment to another. The hallmark of …
Role of molecular dynamics and related methods in drug discovery
Molecular dynamics (MD) and related methods are close to becoming routine computational
tools for drug discovery. Their main advantage is in explicitly treating structural flexibility and …
tools for drug discovery. Their main advantage is in explicitly treating structural flexibility and …
PyEMMA 2: A software package for estimation, validation, and analysis of Markov models
MK Scherer, B Trendelkamp-Schroer… - Journal of chemical …, 2015 - ACS Publications
Markov (state) models (MSMs) and related models of molecular kinetics have recently
received a surge of interest as they can systematically reconcile simulation data from either …
received a surge of interest as they can systematically reconcile simulation data from either …
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C Wehmeyer, F Noé - The Journal of chemical physics, 2018 - pubs.aip.org
Inspired by the success of deep learning techniques in the physical and chemical sciences,
we apply a modification of an autoencoder type deep neural network to the task of …
we apply a modification of an autoencoder type deep neural network to the task of …
Complete protein–protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling
Protein–protein association is fundamental to many life processes. However, a microscopic
model describing the structures and kinetics during association and dissociation is lacking …
model describing the structures and kinetics during association and dissociation is lacking …
HTMD: high-throughput molecular dynamics for molecular discovery
Recent advances in molecular simulations have allowed scientists to investigate slower
biological processes than ever before. Together with these advances came an explosion of …
biological processes than ever before. Together with these advances came an explosion of …