2009
DOI: 10.1002/qsar.200860134
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Quantitative Structure Activity Relationship (QSAR) Approach to Multiple Drug Resistance (MDR) Modulators Based on Combined Hybrid System

Abstract: The aim of this paper was to build hybrid QSAR models for predicting multiple drug resistance (MDR) modulators modulating activity of 70 compounds based on single multiple linear regression (MLR) models and support vector machine (SVM) models. All models were validated using more strict criteria to make sure that the results are reliable and robust. For the best hybrid model, it gave the best performance, with corresponding correlation coefficients R 2 of 0.85, 0.81, and 0.84 for training, test, and whole data… Show more

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Cited by 9 publications
(3 citation statements)
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References 36 publications
(29 reference statements)
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“…Molecular descriptors encoding physic-chemical chemical properties and frameworks of chemical molecules are widely used in the investigation of chemoinformatics and quantitative structure activity relationships (QSAR) [ 41 , 42 , 43 , 44 ]. In this part, the relationships between above tested inflammatory factors and 29 molecular descriptors, including 18 3D-MoRSE descriptors, were analyzed by PCA and visualized in the biplot ( Figure 8 ).…”
Section: Resultsmentioning
confidence: 99%
“…Molecular descriptors encoding physic-chemical chemical properties and frameworks of chemical molecules are widely used in the investigation of chemoinformatics and quantitative structure activity relationships (QSAR) [ 41 , 42 , 43 , 44 ]. In this part, the relationships between above tested inflammatory factors and 29 molecular descriptors, including 18 3D-MoRSE descriptors, were analyzed by PCA and visualized in the biplot ( Figure 8 ).…”
Section: Resultsmentioning
confidence: 99%
“…Molecular descriptors based on physicochemical properties are widely used in the determination of quantitative structure activity relationships (QSAR) (Wu et al , ; Arsuaga et al , ; Matteis et al , ). The following molecular descriptors were selected and calculated using the semi‐empirical AM1 method with molecular operating environment (MOE): number of hydrogen bond acceptor atoms (HBA), number of hydrogen bond donor atoms (HBD), dipole moment (dipole), logarithm of the octanol/water partition coefficient (log P o/w), water accessible surface area of all hydrophobic atoms (ASA‐H), water accessible surface area of all polar atoms (ASA‐P), highest occupied molecular orbital energy (HOMO), lowest unoccupied molecular orbital energy (LUMO) and molar refractivity (MR).…”
Section: Methodsmentioning
confidence: 99%
“…Level of significance was set at 5%. Molecular descriptors, presenting features and properties of some function of numerical molecular, are widely used in the investigation of quantitative structure activity relationships (QSAR) (Arsuaga et al, 2010;De Matteis et al, 2010;Wu et al, 2010). In this part, 35 molecular descriptors were selected and calculated using the semi-empirical AM1 method with MOE software to characterize the structures of our tested compounds.…”
Section: S35 Statistical Analysismentioning
confidence: 99%