John D. Chodera, Ph.D.
Affiliations: | 1999-2006 | Graduate Group in Biophysics | University of California, San Francisco, San Francisco, CA |
2007-2008 | Chemistry | Stanford University, Palo Alto, CA | |
2008-2012 | QB3 | University of California, Berkeley, Berkeley, CA, United States | |
2012- | Computational and Systems Biology Program | Memorial Sloan Kettering Cancer Center, Rockville Centre, NY, United States |
Area:
drug discovery, computational biophysics, protein folding and stabilityWebsite:
http://choderalab.orgGoogle:
"John Chodera"Mean distance: 9.43 | S | N | B | C | P |
Parents
Sign in to add mentorWilliam C. Swope | research assistant | 2005-2005 | IBM Research - Almaden | |
(IBM Research Predoctoral Fellowship) | ||||
Ken A. Dill | grad student | 2006 | UCSF | |
(Master equation models of macromolecular dynamics from atomistic simulation.) | ||||
Vijay S. Pande | post-doc | 2007-2008 | Stanford | |
Phillip L. Geissler | post-doc | 2008-2012 | UC Berkeley |
Children
Sign in to add traineeHersh V Gupta | research assistant | 2017-2020 | Memorial Sloan Kettering Cancer Center |
Kendall Lemons | grad student | ||
Alexander Matthew Payne | grad student | 2020- | Memorial Sloan Kettering Cancer Center (Microtree) |
Mia A. Rosenfeld | post-doc | ||
Sukrit Singh | post-doc | Memorial Sloan Kettering Cancer Center |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Zhang I, Rufa DA, Pulido I, et al. (2024) Correction to Identifying and Overcoming the Sampling Challenges in Relative Binding Free Energy Calculations of a Model Protein:Protein Complex. Journal of Chemical Theory and Computation |
Eastman P, Galvelis R, Peláez RP, et al. (2023) OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. The Journal of Physical Chemistry. B |
Outhwaite IR, Singh S, Berger BT, et al. (2023) Death by a thousand cuts through kinase inhibitor combinations that maximize selectivity and enable rational multitargeting. Elife. 12 |
Eastman P, Galvelis R, Peláez RP, et al. (2023) OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials. Arxiv |
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 |
Zhang I, Rufa DA, Pulido I, et al. (2023) Identifying and Overcoming the Sampling Challenges in Relative Binding Free Energy Calculations of a Model Protein:Protein Complex. Journal of Chemical Theory and Computation |
Boothroyd S, Behara PK, Madin OC, et al. (2023) Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field. Journal of Chemical Theory and Computation |
Zhang I, Rufa DA, Pulido I, et al. (2023) Identifying and overcoming the sampling challenges in relative binding free energy calculations of a model protein:protein complex. Biorxiv : the Preprint Server For Biology |
Perner F, Stein EM, Wenge DV, et al. (2023) MEN1 mutations mediate clinical resistance to menin inhibition. Nature |
Outhwaite IR, Singh S, Berger BT, et al. (2023) Death by a Thousand Cuts â€" Combining Kinase Inhibitors for Selective Target Inhibition and Rational Polypharmacology. Biorxiv : the Preprint Server For Biology |