Tandem 3D-QSARs approach as a valuable tool to predict binding affinity data: Design of new Gly/NMDA receptor antagonists as a key study

Journal of Chemical Information and Modeling

Volumn 47, Issue 5, 2007, Pages 1913-1922

  Bacilieri, M ^a   Varano, F ^b   Deflorian, F ^a   Marini, M ^a   Catarzi, D ^b   Colotta, V ^b   Filacchioni, G ^b   Galli, A ^b   Costagli, C ^b   Kaseda, C ^c   Moro, S ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

^c YAMATAKE CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; BIOACTIVITY; COMPUTATIONAL METHODS; MOLECULAR ELECTRONICS; NONLINEAR EQUATIONS;

ANTAGONISTS; ELECTROSTATIC POTENTIAL; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIPS (QSARS); RESPONSE SURFACE ANALYSIS (RSA);

CHEMICAL COMPOUNDS;

AMINO ACID RECEPTOR BLOCKING AGENT; DYES, REAGENTS, INDICATORS, MARKERS AND BUFFERS; N METHYL DEXTRO ASPARTIC ACID RECEPTOR;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; DRUG ANTAGONISM; DRUG DESIGN; ELECTROCHEMISTRY; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DRUG DESIGN; ELECTROCHEMISTRY; EXCITATORY AMINO ACID ANTAGONISTS; INDICATORS AND REAGENTS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MAGNETIC RESONANCE SPECTROSCOPY; MODELS, CHEMICAL; MODELS, MOLECULAR; MODELS, STATISTICAL; NONLINEAR DYNAMICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RECEPTORS, N-METHYL-D-ASPARTATE;

EID: 35248896332     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci7001846     Document Type: Article

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