Structural-functional bioinformatics: knowledge-based NMR interpretation

Stud Health Technol Inform. 1998:52 Pt 1:365-6.

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Computational Biology
  • Expert Systems*
  • Magnetic Resonance Spectroscopy*
  • Protein Conformation*