Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNets
Understanding the structural determinants of a protein's biochemical properties, such as
activity and stability, is a major challenge in biology and medicine. Comparing computer …
activity and stability, is a major challenge in biology and medicine. Comparing computer …
Markov state-based quantitative kinetic model of sodium release from the dopamine transporter
A Razavi, G Khelashvil, H Weinstein - Biophysical Journal, 2017 - cell.com
The dopamine transporter (DAT) belongs to the neurotransmitter/sodium symporter (NSS)
family of membrane proteins that are responsible for reuptake of neurotransmitters from the …
family of membrane proteins that are responsible for reuptake of neurotransmitters from the …
Granger causality analysis of chignolin folding
M Sobieraj, P Setny - Journal of Chemical Theory and …, 2022 - ACS Publications
Constantly advancing computer simulations of biomolecules provide huge amounts of data
that are difficult to interpret. In particular, obtaining insights into functional aspects of …
that are difficult to interpret. In particular, obtaining insights into functional aspects of …
A maximum-caliber approach to predicting perturbed folding kinetics due to mutations
We present a maximum-caliber method for inferring transition rates of a Markov state model
(MSM) with perturbed equilibrium populations given estimates of state populations and rates …
(MSM) with perturbed equilibrium populations given estimates of state populations and rates …
Assessment and optimization of collective variables for protein conformational landscape: GB1 β-hairpin as a case study
N Ahalawat, J Mondal - The Journal of chemical physics, 2018 - pubs.aip.org
Collective variables (CVs), when chosen judiciously, can play an important role in
recognizing rate-limiting processes and rare events in any biomolecular systems. However …
recognizing rate-limiting processes and rare events in any biomolecular systems. However …
Model selection using BICePs: a bayesian approach for force field validation and parameterization
The Bayesian Inference of Conformational Populations (BICePs) algorithm reconciles
theoretical predictions of conformational state populations with sparse and/or noisy …
theoretical predictions of conformational state populations with sparse and/or noisy …
Exposing the Nucleation Site of Alpha Helix Folding: A Joint Experimental and Simulation Study
α-helices being the most common secondary structures found ubiquitously in proteins, have
been studied extensively for elucidating its folding dynamics and mechanism. In addition …
been studied extensively for elucidating its folding dynamics and mechanism. In addition …
A minimum variance clustering approach produces robust and interpretable coarse-grained models
BE Husic, KA McKiernan… - Journal of chemical …, 2018 - ACS Publications
Markov state models (MSMs) are a powerful framework for the analysis of molecular
dynamics data sets, such as protein folding simulations, because of their straightforward …
dynamics data sets, such as protein folding simulations, because of their straightforward …
Solution-state preorganization of cyclic β-hairpin ligands determines binding mechanism and affinities for MDM2
Understanding mechanisms of protein folding and binding is crucial to designing their
molecular function. Molecular dynamics (MD) simulations and Markov state model (MSM) …
molecular function. Molecular dynamics (MD) simulations and Markov state model (MSM) …
Free energy profile of the substrate‐induced occlusion of the human serotonin transporter
L Alves da Silva, E Lazzarin, R Gradisch… - Journal of …, 2024 - Wiley Online Library
The serotonin transporter (SERT) is a member of the Solute Carrier 6 (SLC6) family and is
responsible for maintaining the appropriate level of serotonin in the brain. Dysfunction of …
responsible for maintaining the appropriate level of serotonin in the brain. Dysfunction of …