Prediction of acetylcholinesterase inhibitors and characterization of correlative molecular descriptors by machine learning methods

European Journal of Medicinal Chemistry

Volumn 45, Issue 3, 2010, Pages 1167-1172

  Lv, Wei ^a   Xue, Ying ^a,b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

Acetylcholinesterase (AChE); Alzheimer's disease (AD); Machine learning methods (ML methods); Molecular descriptors; Recursive feature elimination (RFE); Support vector machine (SVM)

Indexed keywords

CHOLINESTERASE INHIBITOR;

ACCURACY; ANALYTIC METHOD; ARTICLE; COMPETITIVE INHIBITION; COMPUTER PREDICTION; CONTROLLED STUDY; DECISION TREE; DRUG DETERMINATION; DRUG STRUCTURE; K NEAREST NEIGHBOR; MOLECULAR MODEL; STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHOLINESTERASE INHIBITORS; COMPUTATIONAL BIOLOGY; DRUG DESIGN; MODELS, CHEMICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 75849120416     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2009.12.038     Document Type: Article

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