A knowledge-based architecture for protein sequence analysis and structure prediction

D A Clark, G J Barton, C J Rawlings

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Methods for analyzing the amino-acid sequence of a protein for the purposes of predicting its three-dimensional structure were systematically analyzed using knowledge engineering techniques. The resulting entities (data) and relations (processing methods and constraints) have been represented within a generalized dependency network consisting of 29 nodes and over 100 links. It is argued that such a representation meets the requirements of knowledge-based systems in molecular biology. This network is used as the architecture for a prototype knowledge-based system that simulates logically the processes used in protein structure prediction. Although developed specifically for applications in protein structure prediction, the network architecture provides a strategy for tackling the general problem of orchestrating and integrating the diverse sources of knowledge that are characteristic of many areas of science.

Original languageEnglish
Pages (from-to)94-107
Number of pages14
JournalJournal of Molecular Graphics
Volume8
Issue number2
DOIs
Publication statusPublished - Jun 1990

Keywords

  • Amino Acid Sequence
  • Artificial Intelligence
  • Protein Conformation
  • Proteins
  • Tryptophan Synthase

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