Learning protein secondary structure from sequential and relational data

Neural Networks

Volumn 18, Issue 8, 2005, Pages 1029-1039

  Ceroni, Alessio ^a   Frasconi, Paolo ^a   Pollastri, Gianluca ^b  

^a UNIVERSITY OF FLORENCE   (Italy)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Protein contact maps; Protein secondary structure prediction; Recursive neural networks; Relational learning

Indexed keywords

GRAPH THEORY; INTEGRATION; KNOWLEDGE ACQUISITION; NEURAL NETWORKS; PROTEINS;

LEARNING PROTEIN SECONDARY STRUCTURES; PROTEIN CONTACT MAPS; PROTEIN SECONDARY STRUCTURE PREDICTION; RECURSIVE NEURAL NETWORKS; RELATIONAL LEARNING;

LEARNING SYSTEMS;

ACCURACY; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; BETA SHEET; CORRELATION ANALYSIS; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS;

ANIMALS; COMPUTER SIMULATION; DATABASES, PROTEIN; HUMANS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROTEIN FOLDING; PROTEIN INTERACTION MAPPING; PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 26944482741     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.07.001     Document Type: Article

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