The UCSF Graduate Group in Biophysics is seeking continuation of its well-established training program in molecular biophysics. The program emphasizes interdisciplinary training at the interface between biology, physics, chemistry and mathematics. A hallmark of the program is the use of experimental and computational approaches to address fundamental questions in molecular function and cellular processes. We recruit a diverse group of students with quantitative backgrounds and train them to tackle the most challenging problems in biology. The hallmarks of our program are: Collaborative and inter-disciplinary research. The Biophysics program currently comprises faculty from 9 departments and 3 Schools. Faculty and students publish many collaborative papers. In addition to being the primary catalyst for bridging the physical and biological sciences, the Biophysics program also bridges between the computational and experimental sciences. Retreats and journal clubs foster collaborative interactions. ? An innovative curriculum. Our core values of collaboration and inter-disciplinary research are instilled from day one in """"""""Bootcamp"""""""", and continue in a new team-based laboratory course and 'mini courses', which involve in-depth exploration of research topics in small groups with faculty experts. Intensive training in communication, and preparation for diverse careers. We believe that intensive training in oral and written communication is critical to achieve our aim of training scientific leaders, regardless of the diverse career paths they pursue. Students can participate in internships, career preparation workshops, and medical education. Our alumni include leaders in both academia and industry, including several who have started successful companies. A database and associated web interface allow us to track student progress and evaluate the program;student feedback is also critical for guiding program improvements. We are committed to educating diverse students and have developed a robust recruitment and retention strategy.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Institutional National Research Service Award (T32)
Project #
Application #
Study Section
Special Emphasis Panel (TWD)
Program Officer
Flicker, Paula F
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California San Francisco
Schools of Pharmacy
San Francisco
United States
Zip Code
Kimmel, Jacob C; Chang, Amy Y; Brack, Andrew S et al. (2018) Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance. PLoS Comput Biol 14:e1005927
Morgan, Gareth J; Burkhardt, David H; Kelly, Jeffery W et al. (2018) Translation efficiency is maintained at elevated temperature in Escherichia coli. J Biol Chem 293:777-793
Kalia, Raghav; Wang, Ray Yu-Ruei; Yusuf, Ali et al. (2018) Structural basis of mitochondrial receptor binding and constriction by DRP1. Nature 558:401-405
Kim, Seung Joong; Fernandez-Martinez, Javier; Nudelman, Ilona et al. (2018) Integrative structure and functional anatomy of a nuclear pore complex. Nature 555:475-482
Autzen, Henriette E; Myasnikov, Alexander G; Campbell, Melody G et al. (2018) Structure of the human TRPM4 ion channel in a lipid nanodisc. Science 359:228-232
Mravic, Marco; Hu, Hailin; Lu, Zhenwei et al. (2018) De novo designed transmembrane peptides activating the ?5?1 integrin. Protein Eng Des Sel 31:181-190
Paquette, David R; Mugridge, Jeffrey S; Weinberg, David E et al. (2018) Application of a Schizosaccharomyces pombe Edc1-fused Dcp1-Dcp2 decapping enzyme for transcription start site mapping. RNA 24:251-257
Mavor, David; Barlow, Kyle A; Asarnow, Daniel et al. (2018) Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance. Biol Open 7:
Hendel, Nathan L; Thomson, Matthew; Marshall, Wallace F (2018) Diffusion as a Ruler: Modeling Kinesin Diffusion as a Length Sensor for Intraflagellar Transport. Biophys J 114:663-674
Barlow, Kyle A; Ó Conchúir, Shane; Thompson, Samuel et al. (2018) Flex ddG: Rosetta Ensemble-Based Estimation of Changes in Protein-Protein Binding Affinity upon Mutation. J Phys Chem B 122:5389-5399

Showing the most recent 10 out of 184 publications