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Guangfeng Zhou

Showing results (1-10 of 30) with videos related to

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Current Opinion in Structural Biology|February 6, 2025
Protein ligand structure prediction: From empirical to deep learning approachesGuangfeng Zhou, Frank DiMaio
The 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 Voelz
Journal of Computational Chemistry|September 25, 2014
Bayesian inference of conformational state populations from computational models and sparse experimental observablesVincent A Voelz, Guangfeng Zhou
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 Voelz
Biorxiv : the Preprint Server for Biology|November 28, 2024
Automated identification of small molecules in cryo-electron microscopy data with density- and energy-guided evaluationAndrew Muenks, Daniel P Farrell, Guangfeng Zhou, et al.
The 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.
Structure (London, England : 1993)|July 27, 2025
Automated identification of small molecules in cryoelectron microscopy data with density- and energy-guided evaluationAndrew Muenks, Daniel P Farrell, Guangfeng Zhou, et al.
Journal of Chemical Theory and Computation|February 12, 2021
Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein-Ligand DockingHahnbeom Park, Guangfeng Zhou, Minkyung Baek, et al.
Nature Communications|March 1, 2023
Automatic and accurate ligand structure determination guided by cryo-electron microscopy mapsAndrew Muenks, Samantha Zepeda, Guangfeng Zhou, 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.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Current Opinion in Structural Biology|February 6, 2025
Protein ligand structure prediction: From empirical to deep learning approachesGuangfeng Zhou, Frank DiMaio
The 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 Voelz
Journal of Computational Chemistry|September 25, 2014
Bayesian inference of conformational state populations from computational models and sparse experimental observablesVincent A Voelz, Guangfeng Zhou
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 Voelz
Biorxiv : the Preprint Server for Biology|November 28, 2024
Automated identification of small molecules in cryo-electron microscopy data with density- and energy-guided evaluationAndrew Muenks, Daniel P Farrell, Guangfeng Zhou, et al.
The 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.
Structure (London, England : 1993)|July 27, 2025
Automated identification of small molecules in cryoelectron microscopy data with density- and energy-guided evaluationAndrew Muenks, Daniel P Farrell, Guangfeng Zhou, et al.
Journal of Chemical Theory and Computation|February 12, 2021
Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein-Ligand DockingHahnbeom Park, Guangfeng Zhou, Minkyung Baek, et al.
Nature Communications|March 1, 2023
Automatic and accurate ligand structure determination guided by cryo-electron microscopy mapsAndrew Muenks, Samantha Zepeda, Guangfeng Zhou, 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.
Pageof 3