شماره ركورد كنفرانس :
3140
عنوان مقاله :
Prediction of biological properties of some benzophenone and indanone derivatives as acetylcholinesterase inhibitors by parametric and fuzzy nonparametric regression methods
عنوان به زبان ديگر :
Prediction of biological properties of some benzophenone and indanone derivatives as acetylcholinesterase inhibitors by parametric and fuzzy nonparametric regression methods
پديدآورندگان :
Ghasemian Javad نويسنده School of Mathematics and Computer Science - Damghan University - Danghan - Iran , Farnoosh Rahman نويسنده School of Mathematics - Iran University of Science and Technology - Narmak - Tehran - Iran , Ajloo Davood نويسنده School of Chemistry - Damghan University - Damghan - Iran
كليدواژه :
Fuzzy nonparametric regression , Indianone , Linear regression , Acetylcholinesterase , benzophenone
عنوان كنفرانس :
يازدهمين كنفرانس آمار ايران
چكيده لاتين :
The biological activity of some acetylcholinesterase inhibitors were predierted by parametrie and non parametrie methods. The molecular descrii tors or independent variables were obtained from Hyperchen and Dragon softwares. The dependent variable is biological activity named logIC50. In parametric multiple linear regression (PMLR) the coefficient of determination R’ is 0.6 and in fuzzy nonparametric regression (NPFR) CV - 1 - Rʹ is 7.16-4 .
شماره مدرك كنفرانس :
4219389