The UCSF Computer Graphics Laboratory (CGL) and Nuclear Magnetic Resonance (NMR) Laboratory plan to continue to design, build, integrate and disseminate computation and visualization tools for structural biology. Our many core research and development and collaborative research projects, in collaboration with both local and outside users, will apply these software tools to problems in medicinal chemistry and molecular biology, with particular emphasis on elucidation of molecular structure using nuclear magnetic resonance, studies of macromolecular structure, protein folding, molecular interaction, drug design and protein engineering. As these tools mature, they will be made available as a service operation to outside users, both for visitors to the CGL and NMR Laboratories, who will be able to cooperate and collaborate with staff, and as software to be ported to systems at other labs. Users will be trained in the use of these systems and every effort will be made to provide a coherent user-friendly environment. Dissemination will continue through orthodox scientific publication, lectures, software distribution, films, videotapes and slides.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
2P41RR001081-17
Application #
2281454
Study Section
Special Emphasis Panel (ZRG7-SSS-4 (01))
Project Start
1976-06-01
Project End
1997-06-30
Budget Start
1994-07-10
Budget End
1995-06-30
Support Year
17
Fiscal Year
1994
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
073133571
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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Chu, Shidong; Zhou, Guangyan; Gochin, Miriam (2017) Evaluation of ligand-based NMR screening methods to characterize small molecule binding to HIV-1 glycoprotein-41. Org Biomol Chem 15:5210-5219
Nekouzadeh, Ali; Rudy, Yoram (2016) Conformational changes of an ion-channel during gating and emerging electrophysiologic properties: Application of a computational approach to cardiac Kv7.1. Prog Biophys Mol Biol 120:18-27
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