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Volumn 30, Issue 8, 2011, Pages 689-706

Molecular docking guided comparative GFA, G/PLS, SVM and ANN models of structurally diverse dual binding site acetylcholinesterase inhibitors

(9) Gupta, Shikhar a Fallarero, Adyary b Vainio, Mikko J b Saravanan, P a Santeripuranen, J b Järvinen, Päivi c Johnson, Mark S b Vuorela, Pia M b Mohan, C Gopi a

a NATIONAL INSTITUTE OF PHARMACEUTICAL EDUCATION AND RESEARCH NIPER (India)

b ÅBO AKADEMI UNIVERSITY (Finland)

c UNIVERSITY OF HELSINKI (Finland)

Author keywords

AChE; ANN; Docking; G PLS; GFA; QSAR; SVM

Indexed keywords

COMPUTATIONAL CHEMISTRY; LEAST SQUARES APPROXIMATIONS; MOLECULAR GRAPHICS; MOLECULAR MODELING; NEURAL NETWORKS; STATISTICAL TESTS;

ACHE; ANN; BINDING-SITES; DOCKING; G/PLS; GFA; MOLECULAR DOCKING; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING; SVM;

SUPPORT VECTOR MACHINES;

ACETYLCHOLINESTERASE; CHOLINESTERASE INHIBITOR; TACRINE DERIVATIVE;

ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOASSAY; CHOLINESTERASE INHIBITION; COLORIMETRY; COMPARATIVE STUDY; COMPUTER PROGRAM; DRUG BINDING SITE; GENETIC ALGORITHM; HUMAN; IN VITRO STUDY; MACHINE LEARNING; MODEL; MOLECULAR DOCKING; MOLECULAR MODEL; NEUROLOGIC DISEASE; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; SCREENING; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 80052081341 PISSN: 18681743 EISSN: 18681751 Source Type: Journal
DOI: 10.1002/minf.201100029 Document Type: Article

Times cited : (11)

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