A necessary stage in protein structure determination by NMR is the assignmentof resonances to their originating sites in the polypeptide. Assignment of large proteins (even with the aid of +{13}C and +{15}N labeling) becomes difficult due to large overlap of the numerous resonances, exacerbated by line-broadening effects. Our NMR studies of glutamine-binding protein (molecular weight 25 kDa) motivate the development of an automated assignment method. Several 3D-NMR experiments, performed in the laboratory of Prof. Chie Ho, provide cross peaks which will become the inputs to an automated assignment program . The proposed method evaluates the overall probability of a tentative assignment, and maximizes this score by shuffling peak assignments, using a simulated annealing strategy. The program is tested using data on previously-assigned proteins. A starter grant will enable us to optimize this program, and gain familiarity with the PSC's structure determination software.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR006009-07
Application #
5225382
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
7
Fiscal Year
1996
Total Cost
Indirect Cost
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