ML Anthology

PROTEAN: Deriving Protein Structure from Constraints

Barbara Hayes-Roth, Bruce G. Buchanan, Olivier Lichtarge, Mike Hewitt, Russ B. Altman, James F. Brinkley, Craig Cornelius, Bruce S. Duncan, Oleg Jardetzky
AAAI 1986 pp. 904-909
/aaai/1986/hayesroth1986aaai-protean/

Abstract

PROTEAN is an evolving knowledge-based system that is intended to identify the three-dimensional conformations of proteins in solution. Using a variety of empirically derived constraints, PROTEAN must identify legal positions for each of a protein’s constituent structures (e.g., atoms, amino acids, helices) in three-dimensional space. In fact, because protein-structure analysis is an underconstrained problem, PROTEAN must identify the entire family of conformations allowed by available constraints. In this paper, we discuss PROTEAN’s approach to the protein-structure analysis problem and its current implementation within the BBl blackboard architecture. 1.

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Cite

Text

Hayes-Roth et al. "PROTEAN: Deriving Protein Structure from Constraints." AAAI Conference on Artificial Intelligence, 1986.

Markdown

[Hayes-Roth et al. "PROTEAN: Deriving Protein Structure from Constraints." AAAI Conference on Artificial Intelligence, 1986.](https://mlanthology.org/aaai/1986/hayesroth1986aaai-protean/)

BibTeX

@inproceedings{hayesroth1986aaai-protean,
  title     = {{PROTEAN: Deriving Protein Structure from Constraints}},
  author    = {Hayes-Roth, Barbara and Buchanan, Bruce G. and Lichtarge, Olivier and Hewitt, Mike and Altman, Russ B. and Brinkley, James F. and Cornelius, Craig and Duncan, Bruce S. and Jardetzky, Oleg},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1986},
  pages     = {904-909},
  url       = {https://mlanthology.org/aaai/1986/hayesroth1986aaai-protean/}
}