Structural-functional bioinformatics: knowledge-based NMR interpretation.
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.
Kulikowski
C A
CA
Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. kulikowski@cs.rutgers.edu
Zimmerman
D
D
Montelione
G
G
Anderson
S
S
D019295:Computational Biology; D005103:Expert Systems; D009682:Magnetic Resonance Spectroscopy; D011487:Protein Conformation