The goal of this proposal is to continue the development of computational methods for molecular genetic information analyses and apply them to research problems arising in biological and clinical studies through the continuation and expansion of the Molecular Biology Commuter Research Resource (MBCRR) at the Dana-Farber Cancer Institute/Harvard School of Public Health. The MBCRR provides research support, training and collaborative research opportunities in the interdisciplinary domain overlapping molecular biology, genetics, computer science and mathematics. The service and training components support a very active local molecular biology research community which in turn participates in the resource's collaborative and core research. The Collaborative and Core Research goals are to continue research into the identification of the syntactic and semantic patterns in genetic sequences - for example, those DNA and protein sequence/structural patterns which trace the evolution and/or correlate with a given function. The Technological Research goal is to continue the development of commuter science methods required for the practical implementation of pattern identification and other sequence analysis needs as they arise. the Service and Dissemination goals are: 1) to provide local area researchers with on-line and down-loadable molecular genetics analysis software and data-bases; 2) to provide on-line specialized software for complex analyses; 3) to provide on-line documentation, help and analysis examples; 4) to maintain for distribution a set of public domain analysis software tools; 5) to sponsor and organize international scientific meetings within the interdisciplinary domain; and 6) to provide for local area researchers introductory tutorial support on the use and interpretation of analysis software. The Training goals are to continue the interdisciplinary training of molecular biologists in statistical and computer science methodologies, and to educate mathematicians and computer scientists in the problems facing molecular biology. To this end, the MBCRR will continue its post- doctoral fellowship program, the one-on-one training of local area new post-doctoral fellows and graduate students, and the visiting scientists molecular biological analysis program.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Biotechnology Resource Grants (P41)
Project #
5P41LM005205-11
Application #
2237713
Study Section
Special Emphasis Panel (SSS (C))
Project Start
1991-09-01
Project End
1995-04-30
Budget Start
1994-04-01
Budget End
1995-04-30
Support Year
11
Fiscal Year
1994
Total Cost
Indirect Cost
Name
Boston University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
604483045
City
Boston
State
MA
Country
United States
Zip Code
02118
Das, S; Smith, T F (2000) Identifying nature's protein Lego set. Adv Protein Chem 54:159-83
Yu, L; Smith, T F (1999) Positional statistical significance in sequence alignment. J Comput Biol 6:253-9
Smith, T F (1999) The art of matchmaking: sequence alignment methods and their structural implications. Structure 7:R7-R12
Graber, J H; Cantor, C R; Mohr, S C et al. (1999) Genomic detection of new yeast pre-mRNA 3'-end-processing signals. Nucleic Acids Res 27:888-94
Zhang, X; Smith, T F (1998) Yeast ""operons"". Microb Comp Genomics 3:133-40
Yu, L; White, J V; Smith, T F (1998) A homology identification method that combines protein sequence and structure information. Protein Sci 7:2499-510
Garcia-Higuera, I; Gaitatzes, C; Smith, T F et al. (1998) Folding a WD repeat propeller. Role of highly conserved aspartic acid residues in the G protein beta subunit and Sec13. J Biol Chem 273:9041-9
Maalouf, G J; Xu, W; Smith, T F et al. (1998) Homology model for the ligand-binding domain of the human estrogen receptor. J Biomol Struct Dyn 15:841-51
Smith, T F (1998) Functional genomics--bioinformatics is ready for the challenge. Trends Genet 14:291-3
Smith, T F; Lo Conte, L; Bienkowska, J et al. (1997) Current limitations to protein threading approaches. J Comput Biol 4:217-25

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