Towards in silico identification of the human ether-a-go-go-related gene channel blockers: Discriminative vs. generative classification models

SAR and QSAR in Environmental Research

Volumn 24, Issue 2, 2013, Pages 103-117

  Kireeva, N ^a,b,c   Kuznetsov, S L ^a   Bykov, A A ^c   Tsivadze, A Yu ^a  

^a FRUMKIN INSTITUTE OF PHYSICAL CHEMISTRY AND ELECTROCHEMISTRY   (Russian Federation)

^b UNIVERSITÉ LOUIS PASTEUR   (France)

^c MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

Author keywords

classification models for hERG inhibitors; discriminative models; generative models; generative topographic maps; human ether a go go related gene; quantitative structure activity relationships; support vector machines

Indexed keywords

GENES; MAPS; SUPPORT VECTOR MACHINES;

CLASSIFICATION MODEL FOR HERG INHIBITOR; CLASSIFICATION MODELS; DISCRIMINATIVE MODELS; GENERATIVE CLASSIFICATIONS; GENERATIVE MODEL; GENERATIVE TOPOGRAPHIC MAP; HUMAN ETHER-A-GO-GO-RELATED GENE; IN-SILICO; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; SUPPORT VECTORS MACHINE;

ETHERS;

EID: 84872419971     PISSN: 1062936X     EISSN: 1029046X     Source Type: Journal    
DOI: 10.1080/1062936X.2012.742135     Document Type: Article

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