Beta-sheet Prediction Using Inter-strand Residue Pairs and Refinement with Hopfield Neural Network

Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997

Volumn , Issue , 1997, Pages 48-51

  Asogawa, Minoru ^a  

^a NEC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

HOPFIELD NEURAL NETWORKS;

BETA-SHEET; ENERGY FUNCTIONS; LINE PROCESS; PREDICTION ACCURACY; PREDICTION METHODS; PROTEIN TERTIARY STRUCTURES;

FORECASTING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; FACTUAL DATABASE; MATHEMATICS; PROTEIN SECONDARY STRUCTURE; THERMODYNAMICS;

DATABASES, FACTUAL; MATHEMATICS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, SECONDARY; THERMODYNAMICS;

EID: 0030629054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. Asogawa M., "Hydrogen Bonds Patterns are Essential for /S-sheetprediction", unpublished.
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8. H. Mćimitsuka and N. Abe, "Predicting Location and Structure of Beta-Sheet Regions Using Stochastic Tree Grammars", Proceedings of ISMB-94, pp. 276-284, (1994).
9. Rost B. and Scinder C, "Prediction of Protein Secondly Structure at Better than 70% Accuracy", J. Mol. Biol., vol. 232, pp. 584-599, (1993).