Protein folding class predictor for SCOP: approach based on global descriptors

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

Volumn , Issue , 1997, Pages 104-107

  Dubchak, Inna ^a   Muchnik, Ilya ^b   Kim, Sung Hou ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b the State University of New Jersey   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS;

AMINO ACID PROPERTIES; AMINO-ACIDS; DESCRIPTORS; FOLDINGS; GLOBAL DESCRIPTORS; NEURAL-NETWORKS; PREDICTION METHODS; PROTEIN FOLDINGS; STRUCTURAL CLASSIFICATION;

PROTEIN FOLDING;

AMINO ACID; PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; EVALUATION; FACTUAL DATABASE; PROTEIN CONFORMATION; PROTEIN FOLDING;

ALGORITHMS; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; EVALUATION STUDIES; NEURAL NETWORKS (COMPUTER); PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS;

EID: 0030632156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

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