Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity

European Journal of Medicinal Chemistry

Volumn 44, Issue 12, 2009, Pages 5023-5028

  Pourbasheer, Eslam ^a   Riahi, Siavash ^a   Ganjali, Mohammad Reza ^a,b   Norouzi, Parviz ^a,b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

BK channels activity; Chemometrics; Genetic algorithms; QSAR; Support vector machine

Indexed keywords

CHLORINE; LARGE CONDUCTANCE CALCIUM ACTIVATED POTASSIUM CHANNEL; OXYGEN;

ARTICLE; CHEMOMETRIC ANALYSIS; CHEMOMETRICS; COMPARATIVE STUDY; CONCENTRATION (PARAMETERS); CORRELATION COEFFICIENT; ELECTRON; ENZYME ACTIVITY; GENETIC ALGORITHM; IC 50; LINEAR REGRESSION ANALYSIS; POLARIZATION; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

ALGORITHMS; INHIBITORY CONCENTRATION 50; LINEAR MODELS; POTASSIUM CHANNELS, CALCIUM-ACTIVATED; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 70449627002     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2009.09.006     Document Type: Article

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