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Structural-functional bioinformatics: knowledge-based NMR interpretation
C A Kulikowski1, D Zimmerman, G Montelione
1Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. kulikowski@cs.rutgers.edu
Studies in Health Technology and Informatics
|June 29, 1999
Abstract:
This paper describes a knowledge-based approach to a problem of structural-functional bioinformatics, specifically the determination of protein structure through the automated analysis of NMR data. Highly successful results in carrying out sequence-specific assignments of residues from multidimensional NMR datasets has led us to automation of NOE dataset interpretation and a design for integrating these results with other protein structure and function analysis programs.