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Journal of Chemical Theory and Computation|December 14, 2016
A Maximum-Caliber Approach to Predicting Perturbed Folding Kinetics Due to MutationsHongbin Wan, Guangfeng Zhou, Vincent A VoelzThe Journal of Physical Chemistry. B|January 16, 2016
Using Kinetic Network Models To Probe Non-Native Salt-Bridge Effects on α-Helix FoldingGuangfeng Zhou, Vincent A VoelzJournal of Computational Chemistry|September 25, 2014
Bayesian inference of conformational state populations from computational models and sparse experimental observablesVincent A Voelz, Guangfeng ZhouThe Journal of Chemical Physics|January 17, 2020
Adaptive Markov state model estimation using short reseeding trajectoriesHongbin Wan, Vincent A VoelzThe Journal of Physical Chemistry. B|November 20, 2015
Insights into Peptoid Helix Folding Cooperativity from an Improved Backbone PotentialSudipto Mukherjee, Guangfeng Zhou, Chris Michel, et al.Journal of Chemical Theory and Computation|January 10, 2020
Reconciling Simulated Ensembles of Apomyoglobin with Experimental Hydrogen/Deuterium Exchange Data Using Bayesian Inference and Multiensemble Markov State ModelsHongbin Wan, Yunhui Ge, Asghar Razavi, et al.Biophysical Journal|August 24, 2017
Bridging Microscopic and Macroscopic Mechanisms of p53-MDM2 Binding with Kinetic Network ModelsGuangfeng Zhou, George A Pantelopulos, Sudipto Mukherjee, et al.Journal of Chemical Theory and Computation|November 20, 2015
Surprisal Metrics for Quantifying Perturbed Conformational Dynamics in Markov State ModelsVincent A Voelz, Brandon Elman, Asghar M Razavi, et al.Journal of the American Chemical Society|February 12, 2019
Fluorinated Aromatic Monomers as Building Blocks To Control α-Peptoid Conformation and StructureDiana Gimenez, Guangfeng Zhou, Matthew F D Hurley, et al.The Journal of Chemical Physics|April 9, 2022
Estimation of binding rates and affinities from multiensemble Markov models and ligand decouplingYunhui Ge, Vincent A VoelzPageof 11