Kim, Sung-Hou 9723352 The goal of this research is to develop a computational method for predicting the folding class for any protein sequence without a clearly identified function or significant homology to known sequences. This approach would provide an alternative and complementary scheme to sequence homology based methods for a solution to the inverse protein folding problem. This computational method will be used on a large scale as automatic software of high accuracy for the prediction of the folding class for new genomic sequences, generated by human and microbial genome projects.

Agency
National Science Foundation (NSF)
Institute
Division of Biological Infrastructure (DBI)
Application #
9723352
Program Officer
Sylvia J. Spengler
Project Start
Project End
Budget Start
1997-10-01
Budget End
2001-09-30
Support Year
Fiscal Year
1997
Total Cost
$351,974
Indirect Cost
Name
University of California Berkeley
Department
Type
DUNS #
City
Berkeley
State
CA
Country
United States
Zip Code
94704