The UCSF Resource for Biocomputing, Visualization, and Informatics will continue its long history of designing, building, integrating, and disseminating computational and visualization methods and tools for genomics, proteomics, and structural biology. Our many technological research and development and collaborative research projects, in collaboration with both local and distant scientists, will apply these software tools to problems in medicinal chemistry and molecular biology, with particular emphasis on studies of macromolecular structure, molecular interactions, drug design, the molecular basis of disease, pharmacogenomics, and protein engineering. As these tools mature, they will be made available in source code form via the web as a service to outside users and to visitors of the Resource. Users of the Resource will be trained in the use of these tools, will be able to cooperate and collaborate with Resource staff, and every effort will be made to provide a coherent user-friendly environment. Dissemination of our technological developments and collaborative research results will be accomplished via several mechanisms, including scientific publications, lectures, software distribution, slides and videos, and though our web site: www.cgl.ucsf.edu/. Our Resource Center will develop and distribute to other researchers sophiscated computation and visualization tools to enable scientists to understand, analyze, and illustrate to others the important principles of molecular recognition and interactions. The research tools we develop will directly address the challenges associated with applying computing and information technology to biomedicine, building out from today's fundemental knowledge in structural biology and computational biology, to provide insight into cellular function and tools for translational medicine.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001081-34
Application #
8130868
Study Section
Special Emphasis Panel (ZRG1-BST-D (40))
Program Officer
Brazhnik, Olga
Project Start
1997-07-15
Project End
2012-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
34
Fiscal Year
2011
Total Cost
$1,144,550
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
Kozak, John J; Gray, Harry B; Garza-López, Roberto A (2018) Relaxation of structural constraints during Amicyanin unfolding. J Inorg Biochem 179:135-145
Alamo, Lorenzo; Pinto, Antonio; Sulbarán, Guidenn et al. (2018) Lessons from a tarantula: new insights into myosin interacting-heads motif evolution and its implications on disease. Biophys Rev 10:1465-1477
Viswanath, Shruthi; Chemmama, Ilan E; Cimermancic, Peter et al. (2017) Assessing Exhaustiveness of Stochastic Sampling for Integrative Modeling of Macromolecular Structures. Biophys J 113:2344-2353
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
Portioli, Corinne; Bovi, Michele; Benati, Donatella et al. (2017) Novel functionalization strategies of polymeric nanoparticles as carriers for brain medications. J Biomed Mater Res A 105:847-858
Alamo, Lorenzo; Koubassova, Natalia; Pinto, Antonio et al. (2017) Lessons from a tarantula: new insights into muscle thick filament and myosin interacting-heads motif structure and function. Biophys Rev 9:461-480
Nguyen, Hai Dang; Yadav, Tribhuwan; Giri, Sumanprava et al. (2017) Functions of Replication Protein A as a Sensor of R Loops and a Regulator of RNaseH1. Mol Cell 65:832-847.e4
Sofiyev, Vladimir; Kaur, Hardeep; Snyder, Beth A et al. (2017) Enhanced potency of bivalent small molecule gp41 inhibitors. Bioorg Med Chem 25:408-420
Sathyanarayana, Bangalore K; Li, Peng; Lin, Jian-Xin et al. (2016) Molecular Models of STAT5A Tetramers Complexed to DNA Predict Relative Genome-Wide Frequencies of the Spacing between the Two Dimer Binding Motifs of the Tetramer Binding Sites. PLoS One 11:e0160339
Forman, Stuart A; Miller, Keith W (2016) Mapping General Anesthetic Sites in Heteromeric ?-Aminobutyric Acid Type A Receptors Reveals a Potential For Targeting Receptor Subtypes. Anesth Analg 123:1263-1273

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