Vincent A. Voelz
Affiliations: | 2011- | Chemistry | Temple University, Philadelphia, PA, United States |
Area:
molecular simulation of proteins and peptidomimeticsWebsite:
http://voelzlab.orgGoogle:
"Vincent Voelz"Mean distance: 9.24 | S | N | B | C | P |
Parents
Sign in to add mentorKen A. Dill | grad student | 2001-2007 | UCSF | |
(Zipping and assembly as a protein folding principle.) | ||||
Vijay S. Pande | grad student | 2007-2011 | Stanford |
Children
Sign in to add traineeRobert M. Raddi | grad student | 2018- | Temple University |
Yunhui Ge | grad student | 2014-2020 | Temple University |
Matthew F. D. Hurley | grad student | 2015-2022 |
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Publications
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Novack D, Zhang S, Voelz VA. (2024) Massively parallel free energy calculations for affinity maturation of designed miniproteins. Biorxiv : the Preprint Server For Biology |
Raddi RM, Marshall T, Voelz VA. (2024) Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations. Arxiv |
Raddi RM, Voelz VA. (2023) Markov State Model of Solvent Features Reveals Water Dynamics in Protein-Peptide Binding. The Journal of Physical Chemistry. B |
Hurley MFD, Raddi RM, Pattis JG, et al. (2023) Expanded ensemble predictions of absolute binding free energies in the SAMPL9 host-guest challenge. Physical Chemistry Chemical Physics : Pccp |
Boby ML, Fearon D, Ferla M, et al. (2023) Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors. Science (New York, N.Y.). 382: eabo7201 |
Raddi RM, Ge Y, Voelz VA. (2023) BICePs v2.0: Software for Ensemble Reweighting Using Bayesian Inference of Conformational Populations. Journal of Chemical Information and Modeling |
Voelz VA, Pande VS, Bowman GR. (2023) Folding@home: achievements from over twenty years of citizen science herald the exascale era. Arxiv |
Voelz VA, Pande VS, Bowman GR. (2023) Folding@home: Achievements from over 20 years of citizen science herald the exascale era. Biophysical Journal |
Ge Y, Voelz VA. (2022) Estimation of binding rates and affinities from multiensemble Markov models and ligand decoupling. The Journal of Chemical Physics. 156: 134115 |
Zhang S, Hahn DF, Shirts MR, et al. (2021) Expanded Ensemble Methods Can be Used to Accurately Predict Protein-Ligand Relative Binding Free Energies. Journal of Chemical Theory and Computation |