International Journal of Molecular Sciences · 2015 · 13 citations · 31 references
PharmacyMedicinal ChemistryPharmacologyCancer PharmacologyDrug DiscoveryStructure-activity RelationshipsMolecular DescriptorsQualitative Structure-activity RelationshipsQuantitative Structure-activity RelationshipsStructure-activity Relationship AnalysisChemical Structure-activity RelationshipsCluster AnalysisCytotoxicity AssaysHierarchical Cluster AnalysisHydrophobic DescriptorsPhysicochemical DescriptorsQuantum Chemical DescriptorsQuantum Chemical Modeling
A series of 21 compounds isolated from Curcuma zedoaria was subjected to cytotoxicity test against MCF7; Ca Ski; PC3 and HT-29 cancer cell lines; and a normal HUVEC cell line. To rationalize the structure-activity relationships of the isolated compounds; a set of electronic; steric and hydrophobic descriptors were calculated using density functional theory (DFT) method. Statistical analyses were carried out using simple and multiple linear regressions (SLR; MLR); principal component analysis (PCA); and hierarchical cluster analysis (HCA). SLR analyses showed that the cytotoxicity of the isolated compounds against a given cell line depend on certain descriptors; and the corresponding correlation coefficients (R2) vary from 0%-55%. MLR results revealed that the best models can be achieved with a limited number of specific descriptors applicable for compounds having a similar basic skeleton. Based on PCA; HCA and MLR analyses; active compounds were classified into subgroups; which was in agreement with the cell based cytotoxicity assay.
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A new mixing of Hartree–Fock and local density-functional theories
Axel D. Becke · The Journal of Chemical Physics · 1993 · 16.4K citations
Natural Sciences, Chemistry, Physics +11
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Arup K. Ghose, Avis Pritchett, Gordon M. Crippen · Journal of Computational Chemistry · 1988 · 450 citations · Full text