Prediction of GFP spectral properties using artificial neural network

Journal of Computational Chemistry

Volumn 28, Issue 7, 2007, Pages 1275-1289

  Nantasenamat, Chanin ^a   Isarankura Na Ayudhya, Chartchalerm ^a   Tansila, Natta ^a   Naenna, Thanakorn ^a   Prachayasittikul, Virapong ^a  

^a MAHIDOL UNIVERSITY   (Thailand)

Author keywords

Absorbance; Chromophore; Fluorescence; Green fluorescent protein; Neural network; Partial least squares; Quantitative structure property relationship

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CHROMOPHORES; COMPUTATIONAL METHODS; ELECTRIC EXCITATION; FLUORESCENCE; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS;

ABSORBANCE; GREEN FLUORESCENT PROTEINS (GFP); PARTIAL LEAST SQUARES; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIP;

PROTEINS;

GREEN FLUORESCENT PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CHEMISTRY; COLOR; FLUORESCENCE; GENETICS; METABOLISM; MUTATION; SPECTROSCOPY;

COLOR; FLUORESCENCE; GREEN FLUORESCENT PROTEINS; MODELS, MOLECULAR; MOLECULAR STRUCTURE; MUTATION; NEURAL NETWORKS (COMPUTER); SPECTRUM ANALYSIS;

EID: 34247525611     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.20656     Document Type: Article

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