HYBP_PSSP: A hybrid back propagation method for predicting protein secondary structure

Neural Computing and Applications

Volumn 21, Issue 2, 2012, Pages 337-349

  Qu, Wu ^a   Yang, Bingru ^a   Jiang, Wei ^a   Wang, Lijun ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Compound pyramid model; Hybrid BP neural network; Intelligent prediction system; Protein secondary structure prediction

Indexed keywords

ACCURATE PREDICTION; ACTIVE AREA; ALIGNMENT ACCURACY; BP NEURAL NETWORKS; COGNITIVE MECHANISMS; COMPOUND PYRAMID MODELS; CRITICAL ASSESSMENT; DATA SETS; ESSENTIAL COMPONENT; EVOLUTIONARY INFORMATION; FOLD RECOGNITION; INTELLIGENT INTERFACE; INTELLIGENT PREDICTION; KNOWLEDGE DISCOVERY IN DATABASE; LOCAL STRUCTURE; PHYSICOCHEMICAL PROPERTY; POSITION SPECIFIC SCORING MATRIX; PREDICTION ACCURACY; PREDICTION METHODS; PROTEIN SECONDARY STRUCTURE; PROTEIN SECONDARY STRUCTURE PREDICTION; PROTEIN STRUCTURE PREDICTION; PSI-BLAST; SECONDARY STRUCTURES; SEQUENCE COMPARISONS; TARGET PROTEINS; TERTIARY STRUCTURES;

AMINO ACIDS; BACKPROPAGATION; BIOINFORMATICS; EXPERIMENTS; NEURAL NETWORKS;

FORECASTING;

EID: 84863263953     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0739-7     Document Type: Article

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