The Molecular Biophysics Graduate Program provides UCSF students with a unique opportunity to bring methodologies and approaches from physics, mathematics, chemistry and engineering to bear on the most sophisticated problems in quantitative biology in a stellar biomedical environment. The program emphasizes interdisciplinary training, and a hallmark of the program is the use of experimental and computational approaches to address fundamental questions in molecular function and cellular processes. We feel it is imperative to train the next generation of scientists not only to understand the biology and structural biology but also to be able to synthesize vast amounts of information into quantitative and testable models. Reflecting these scientific opportunities and needs, we have expanded our efforts in computational biophysics while maintaining a solid emphasis on the physical basis for complex biological behavior. As a consequence we have changed the title of this application from """"""""Structural Biology"""""""" to """"""""Molecular Biophysics"""""""" to acknowledge the importance of training students in a broad array of approaches ranging from structural biology to computational chemistry to bioinformatics to systems biology. To provide a more integrated inter-disciplinary training experience and specifically encourage disciplinary cross-over, our unique training program has evolved to focus on very rapidly bringing all students to a common understanding, breaking down sociological barriers to interdisciplinary research, building confidence and enhancing bonding within the entering class. This is coupled with our traditional strong emphasis on critical thinking, careful mentoring, building communication skills, and the benefits of collaborative research. Relevance: The extraordinary complexity of biological systems ultimately derives from the properties of individual molecules and how they interact to form supramolecular machines and networks. To provide new insight into this complexity, the UCSF Molecular biophysics training grant will train a new generation of scientists to simultaneously understand the physical basis for molecular behavior and to have the tools required for integrating the vast amounts of available information into testable quantitative models of overall function.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM008284-24
Application #
8098874
Study Section
National Institute of General Medical Sciences Initial Review Group (BRT)
Program Officer
Flicker, Paula F
Project Start
1988-09-30
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
24
Fiscal Year
2011
Total Cost
$484,416
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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

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