The Chodera lab uses computation and experiments to develop quantitative, multiscale models of the effects of small molecules on biomolecular macromolecules and cellular pathways. To do this, the group utilizes physical models and rigorous statistical mechanics, with the overall goals of engineering novel therapeutics and tools for chemical biology, as well as understanding the physical driving forces behind ligand recognition the evolution of resistance mutations.
John Chodera, PhD
Research FocusComputational chemist John Chodera uses statistical mechanics, molecular modeling, and automated biophysical experiments to help identify new potential therapeutics and investigate mechanisms of drug resistance in cancer.
EducationPhD, University of California, San Francisco
- A dynamic mechanism for allosteric activation of Aurora kinase A by activation loop phosphorylation. Emily F. Ruff, Joseph M. Muretta, Andrew Thompson, Eric W. Lake, Soreen Cyphers, Steven K. Albanese, Sonya M. Hanson, Julie M. Behr, David D. Thomas, John D. Chodera, and Nicholas M. Levinson. eLife, in press. [DOI] [bioRxiv]
- Quantitative self-assembly prediction yields targeted nanomedicines. Yosi Shamay, Janki Shah, Mehtap Işık, Aviram Mizrachi, Josef Leibold, Darjus F. Tschaharganeh, Daniel Roxbury, Januka Budhathoki-Uprety, Karla Nawaly, James L. Sugarman, Emily Baut, Michelle R. Neiman, Megan Dacek, Kripa S. Ganesh, Darren C. Johnson, Ramya Sridharan, Karen L. Chu, Vinagolu K. Rajasekhar, Scott W. Lowe, John D. Chodera, and Daniel A. Heller. Nature Materials, in press. [DOI] [PDF] [Supporting Info] [nano-drugbank]
- Louis V. Gerstner Young Investigator Award (2013)
- QB3-Berkeley Distinguished Postdoctoral Fellowship, University of California, Berkeley (2008)
- IBM Predoctoral Fellowship (2005)
- Howard Hughes Medical Institute Predoctoral Fellowship (2000)