This proposal has four major divisions: 1. The continuation of computational support for the molecular biology research community. 2. The dissemination of newly developed computational technologies and application examples. 3.The continuation of a multi-level training program with a new emphasis on the training of graduate students with strong mathematical and physical science backgrounds. 4.The continuation of the research and development program in computational molecular biology closely coupled experimental research laboratories, with a new emphasis on the integration of protein structural information into sequence functional analyses. A number of direction changes from the previous project periods are planned due to the changing nature and sophistication of molecular biology computational needs: l. a. Training in computational methods: To develop and provide training in the use and limitations of computational methods applicable to molecular biology, with a new emphasis on accessing, evaluating and using the wealth of network accessible computational and database services. b. Training in molecular biological applications: To expand the training of physical and computational scientists with strong analytical background in the analyses of molecular biological problems. 2. a. The development and evaluation of methods for function identification that integrate the available information obtained from various diagnostic pattern and database searches with other information such as protein structure, homolog family membership, genetic regulation signals, and enzymatic function(s) associations. b. The development and automation of new and existing methods for the exploitation of determined protein structure information in experimental design and analyses by non structural experts.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Biotechnology Resource Grants (P41)
Project #
5P41LM005205-14
Application #
2415713
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Florance, Valerie
Project Start
1991-09-01
Project End
2000-08-31
Budget Start
1997-05-01
Budget End
2000-08-31
Support Year
14
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Boston University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
042250712
City
Boston
State
MA
Country
United States
Zip Code
02215
Das, S; Smith, T F (2000) Identifying nature's protein Lego set. Adv Protein Chem 54:159-83
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
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
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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