Prediction of Cα-H⋯O and Cα-H⋯π interactions in proteins using recurrent neural network

In Silico Biology

Volumn 6, Issue 1-2, 2006, Pages 111-125

  Kaur, Harpreet ^a   Raghava, Gajendra Pal Singh ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

Acceptor; Donor; Neural network; Prediction; Secondary structure; Weak hydrogen bonds

Indexed keywords

CARBON; HYDROGEN; OXYGEN;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MODEL; COMPUTER PROGRAM; HYDROGEN BOND; INTERNET; MATHEMATICAL COMPUTING; POSITIVE FEEDBACK; PREDICTION; PROTEIN INTERACTION; PROTEIN SECONDARY STRUCTURE; SENSITIVITY ANALYSIS; SEQUENCE HOMOLOGY; VALIDATION PROCESS;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTER SIMULATION; DATABASES, PROTEIN; HYDROGEN BONDING; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 33745222544     PISSN: 13866338     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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