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

D A Clark; G J Barton; C J Rawlings

doi:10.1016/0263-7855(90)80089-x

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

D A Clark·G J Barton·C J Rawlings

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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.

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Amino Acid Sequence Artificial Intelligence Protein Conformation Proteins Tryptophan Synthase Journal Article Research Support, Non-U.S. Gov't

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D A Clark, G J Barton, C J Rawlings. 1990. A knowledge-based architecture for protein sequence analysis and structure prediction.. https://doi.org/10.1016/0263-7855(90)80089-x

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