Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNets

MD Ward, MI Zimmerman, A Meller, M Chung… - Nature …, 2021 - nature.com
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 …

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 …

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 …

A maximum-caliber approach to predicting perturbed folding kinetics due to mutations

H Wan, G Zhou, VA Voelz - Journal of chemical theory and …, 2016 - ACS Publications
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 …

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 …

Model selection using BICePs: a bayesian approach for force field validation and parameterization

Y Ge, VA Voelz - The Journal of Physical Chemistry B, 2018 - ACS Publications
The Bayesian Inference of Conformational Populations (BICePs) algorithm reconciles
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

A Acharyya, Y Ge, H Wu, W DeGrado, V Voelz, F Gai - Biophysical Journal, 2019 - cell.com
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 …

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 …

Solution-state preorganization of cyclic β-hairpin ligands determines binding mechanism and affinities for MDM2

Y Ge, S Zhang, M Erdelyi, VA Voelz - Journal of chemical …, 2021 - ACS Publications
Understanding mechanisms of protein folding and binding is crucial to designing their
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 …