Browsing by Subject "Quantitative Structure-Activity Relationship"
Now showing items 1-17 of 17
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Article
A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors
(2007)In this study, we present a new model that has been developed for the prediction of θ, (lower critical solution temperature) using a database of 169 data points that include 12 polymers and 67 solvents. For the characterization ...
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Article
Analysis of binding parameters of HIV-1 integrase inhibitors: Correlates of drug inhibition and resistance
(2009)This study undertook an exploratory data analysis of the binding parameters of HIV-1 integrase inhibitors. The study group involved inhibitors in preclinical development from the diketo acid, pyrroloquinoline and naphthyridine ...
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Article
Analysis of binding parameters of HIV-1 integrase inhibitors: Correlates of drug inhibition and resistance
(2009)This study undertook an exploratory data analysis of the binding parameters of HIV-1 integrase inhibitors. The study group involved inhibitors in preclinical development from the diketo acid, pyrroloquinoline and naphthyridine ...
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Article
Analysis of binding parameters of HIV-1 integrase inhibitors: Correlates of drug inhibition and resistance
(2009)This study undertook an exploratory data analysis of the binding parameters of HIV-1 integrase inhibitors. The study group involved inhibitors in preclinical development from the diketo acid, pyrroloquinoline and naphthyridine ...
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Article
A combined LS-SVM & MLR QSAR workflow for predicting the inhibition of CXCR3 receptor by quinazolinone analogs
(2010)AnovelQSARworkflowis constructed that combines MLR with LS-SVM classification techniques for the identification of quinazolinone analogs as "active" or "nonactive" CXCR3 antagonists. The accuracy of the LS-SVM classification ...
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Article
Computational design of novel fullerene analogues as potential HIV-1 PR inhibitors: Analysis of the binding interactions between fullerene inhibitors and HIV-1 PR residues using 3D QSAR, molecular docking and molecular dynamics simulations
(2008)A series of experimentally reported as well as computationally designed monoadducts and bisadducts of [60]fullerene analogues have been used in order to analyze the binding interactions between fullerene based inhibitors ...
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Conference Object
Deriving quantitative structure-activity relationship models using genetic programming for drug discovery
(2008)Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a ...
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Article
Identification of a series of novel derivatives as potent HCV inhibitors by a ligand-based virtual screening optimized procedure
(2007)This paper presents the results of a ligand-based virtual screening optimized procedure on 98 compounds which have been recently evaluated as inhibitors of genotype 1 HCV polymerase. First, quantitative structure-activity ...
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Article
In silico exploration for identifying structure-activity relationship of MEK inhibition and oral bioavailability for isothiazole derivatives
(2010)In this study, quantitative structure-activity/property models are developed for modeling and predicting both MEK inhibitory activity and oral bioavailability of novel isothiazole-4-carboxamidines. The models developed are ...
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Article
Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques
(2006)A linear quantitative-structure activity relationship model is developed in this work using Multiple Linear Regression Analysis as applied to a series of 51 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides derivatives ...
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Article
LiSIs: An online scientific workflow system for virtual screening
(2015)Modern methods of drug discovery and development in recent years make a wide use of computational algorithms. These methods utilise Virtual Screening (VS), which is the computational counterpart of experimental screening. ...
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Article
LiSIs: An online scientific workflow system for virtual screeningAAA
(2015)Modern methods of drug discovery and development in recent years make a wide use of computational algorithms. These methods utilise Virtual Screening (VS), which is the computational counterpart of experimental screening. ...
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Article
Molecular optimization using computational multi-objective methods
(2007)Improving the profile of a molecule for the drug-discovery process requires the simultaneous optimization of numerous, often competing objectives. Traditionally, standard chemo-informatics methods ignored this problem and ...
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Article
A novel QSAR model for predicting induction of apoptosis by 4-aryl-4H-chromenes
(2006)A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and predicting induction of apoptosis by 4-aryl-4H-chromenes. The model was produced by using the multiple linear regression (MLR) ...
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Article
A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis
(2006)A quantitative-structure activity relationship was obtained by applying Multiple Linear Regression Analysis to a series of 80 1-[2-hydroxyethoxy-methyl] -6-(phenylthio) thymine (HEPT) derivatives with significant anti-HIV ...
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Article
Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening
(2007)This paper presents the results of an optimization study on biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists, which was accomplished by using quantitative-structure activity relationships (QSARs), ...
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Article
Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors
(2009)A linear Quantitative Structure-Activity Relationship (QSAR) is developed in this work for modeling and predicting HDAC inhibition by 5-pyridin-2-yl- thiophene-2-hydroxamic acids. In particular, a five-variable model is ...