Design and training of a neural network for predicting the solvent accessibility of proteins

Journal of Computational Chemistry

Volumn 24, Issue 11, 2003, Pages 1313-1320

  Ahmad, Shandar ^a,c   Gromiha, M Michael ^b  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^c JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

Author keywords

Neural networks; Proteins; Solvent accessibility

Indexed keywords

AMINO ACIDS; DESIGN; PROTEINS; SOLVENTS; SURFACE PROPERTIES;

ACCESSIBLE SURFACE AREA; SOLVENT ACCESSIBILITY;

FEEDFORWARD NEURAL NETWORKS;

AMINO ACID; PROTEIN; SOLVENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY;

AMINO ACIDS; NEURAL NETWORKS (COMPUTER); PROTEINS; SOLVENTS;

EID: 0038454608     PISSN: 01928651     EISSN: None     Source Type: Journal    
DOI: 10.1002/jcc.10298     Document Type: Article

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