Search results for "Human intestinal absorption"

showing 2 items of 2 documents

A topological sub-structural approach for predicting human intestinal absorption of drugs.

2004

The human intestinal absorption (HIA) of drugs was studied using a topological sub-structural approach (TOPS-MODE). The drugs were divided into three classes according to reported cutoff values for HIA. "Poor" absorption was defined as HIAor =30%, "high" absorption as HIAor =80%, whereas "moderate" absorption was defined between these two values (30%HIA79%). Two linear discriminant analyses were carried out on a training set of 82 compounds. The percentages of correct classification, for both models, were 89.02%. The predictive power of the models were validated by three test: a leave-one-out cross validation procedure (88.9% and 87.9%), an external prediction set of 127 drugs (92.9% and 80…

PharmacologyQuantitative structure–activity relationshipChemistryOrganic ChemistryBiological AvailabilityQuantitative Structure-Activity RelationshipGeneral MedicineModels TheoreticalLinear discriminant analysisTopologyCross-validationIntestinal absorptionBioavailabilityIntestinal AbsorptionPharmaceutical PreparationsTest setDrug DiscoveryHuman intestinal absorptionCutoffHumansIntestinal MucosaEuropean journal of medicinal chemistry
researchProduct

In Silico Prediction of Caco-2 Cell Permeability by a Classification QSAR Approach

2011

In the present study, 21 validated QSAR models that discriminate compounds with high Caco-2 permeability (Papp ≥8×10(-6)  cm/s) from those with moderate-poor permeability (Papp <8×10(-6)  cm/s) were developed on a novel large dataset of 674 compounds. 20 DRAGON descriptor families were used. The global accuracies of obtained models were ranking between 78-82 %. A general model combining all types of molecular descriptors was developed and it classified correctly 81.56 % and 83.94 % for training and test sets, respectively. An external set of 10 compounds was predicted and 80 % was correctly assessed by in vitro Caco-2 assays. The potential use of the final model was evaluated by a virtual s…

Virtual screeningQuantitative structure–activity relationshipIn silicoOrganic ChemistryComputational biologyBiologyBioinformaticsComputer Science ApplicationsStructural BiologyMolecular descriptorDrug DiscoveryHuman intestinal absorptionMolecular MedicineCell permeabilityMolecular Informatics
researchProduct