Search results for "Quantitative structure"

showing 10 items of 192 documents

Discovery of novel trichomonacidals using LDA-driven QSAR models and bond-based bilinear indices as molecular descriptors

2008

Few years ago, the World Health Organization estimated the number of adults with trichomoniasis at 170 million worldwide, more than the combined numbers for gonorrhea, syphilis, and chlamydia. To combat this sexually transmitted disease, Metronidazole (MTZ) has emerged, since 1959, as a powerful drug for the systematic treatment of infected patients. However, increasing resistance to MTZ, adverse effects associated to high-dose MTZ therapies and very expensive conventional technologies related to the development of new trichomonacidals necessitate novel computational methods that shorten the drug discovery pipeline. Therefore, bond-based bilinear indices, new 2-D bond-based TOMOCOMD-CARDD M…

Sexually transmitted diseaseVirtual screeningQuantitative structure–activity relationshipbusiness.industryDrug discoveryOrganic ChemistryBilinear interpolationComputational biologyMachine learningcomputer.software_genreLinear discriminant analysisWorld healthComputer Science ApplicationsMolecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerMathematics
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Role of hydrophobicity on the monoamine receptor binding affinities of central nervous system drugs: a quantitative retention-activity relationships …

2004

Abstract Biological action and activity reflect an aspect of the fundamental physicochemical properties of the bioactive compounds. As an alternative to classical QSAR studies, in this work different quantitative retention–activity relationships (QRAR) models are proposed, which are able to describe the role of hydrophobicity on the binding affinity to different brain monoamine receptors (H 1 -histamine, α 1 -noradrenergic and 5-HT 2 -serotonergic) of different families of psychotherapeutic drugs. The retention of compounds is measured in a biopartitioning micellar chromatography (BMC) system using Brij-35 mobile phases. The adequacy of the QRAR models developed is due to the fact that both…

Steric effectsQuantitative structure–activity relationshipStereochemistryClinical BiochemistryQuantitative Structure-Activity RelationshipSerotonergicBiochemistryAnalytical ChemistryReceptors Biogenic AmineReceptors Adrenergic alpha-1AnimalsReceptors Histamine H1ReceptorMicellesChromatographyChromatographyMolecular StructureChemistryCell MembraneBrainCell BiologyGeneral MedicineAffinitiesMonoamine neurotransmitterSerotonin 5-HT2 Receptor AntagonistsPharmacophoreReceptors Serotonin 5-HT2Quantitative analysis (chemistry)Central Nervous System AgentsJournal of chromatography. B, Analytical technologies in the biomedical and life sciences
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Bond-based 3D-chiral linear indices: Theory and QSAR applications to central chirality codification

2008

The recently introduced non-stochastic and stochastic bond-based linear indices are been generalized to codify chemical structure information for chiral drugs, making use of a trigonometric 3D-chirality correction factor. These improved modified descriptors are applied to several well-known data sets to validate each one of them. Particularly, Cramer's steroid data set has become a benchmark for the assessment of novel quantitative structure activity relationship methods. This data set has been used by several researchers using 3D-QSAR approaches such as Comparative Molecular Field Analysis, Molecular Quantum Similarity Measures, Comparative Molecular Moment Analysis, E-state, Mapping Prope…

Stochastic ProcessesQuantitative structure–activity relationshipIndolesProperty (programming)ChemistryComparabilityQuantitative Structure-Activity RelationshipAngiotensin-Converting Enzyme InhibitorsStereoisomerismGeneral ChemistrySet (abstract data type)Data setComputational MathematicsModels ChemicalPiperidinesComputational chemistryDrug DesignBenchmark (computing)Molecular symmetryCombinatorial Chemistry TechniquesReceptors sigmaThermodynamicsTrigonometryAlgorithmJournal of Computational Chemistry
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Prediction of perception using structure–activity models

2016

IntroductionThe possible link between the molecular structure and a biological activity was pointed out by Linus Pauling (1946) just before the middle of the 20th century. Nevertheless, this concept has been already suggested a century before by Emil Fisher and “lock-and-key” theory: “To use a metaphor, I would say that enzyme and glucoside are such lock and key that fit together in order to exert a reciprocal chemical effect on each other”a (Fischer, 1894). The notion that the biological properties of a compound would be a function of its chemical characteristics is now well admitted, and is closely linked to that of pharmacophore. The pharmacophore concept is related to the interaction of…

Structure (mathematical logic)0303 health sciencesQuantitative structure–activity relationshipChemistry[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionmedia_common.quotation_subjectVapor phase01 natural sciences0104 chemical sciences010404 medicinal & biomolecular chemistry03 medical and health sciencesCheminformaticsPerceptionFlavor perceptionQuality (philosophy)Organic chemistryBiochemical engineering[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition030304 developmental biologymedia_common
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A Slightly Modified Expression of the Polar Surface Area Applied to an Olfactory Study

2013

The polar surface area of a molecule is currently defined as the surface sum over all polar atoms, primarily oxygen and nitrogen, also including their attached hydrogens (named PSA1 in the present study). Some authors also include sulfur and phosphor (PSA3). The slight modification suggested here is based on the fact that it is difficult to consider, on a theoretical point of view, hexavalent S and pentavalents N and P as polar atoms. Indeed, in these cases, all their peripheral electrons are involved in bondings. We propose to define PSA2 using the initial definition extended to O, S, N, P, with the exception of hexavalent S and pentavalents N and P. In order to test this hypothesis, the t…

Surface (mathematics)symbols.namesakeQuantitative structure–activity relationshipCrystallographyChemistrysymbolsPhysical chemistryMoleculePolarOlfactionElectronvan der Waals forcePolar surface areaOpen Journal of Physical Chemistry
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Molecular orbital studies on brominated diphenyl ethers. Part II—reactivity and quantitative structure–activity (property) relationships

2005

Polybrominated diphenyl ethers (PBDEs) are widely used as flame retardants and are increasingly turning up in the environment. Their structural similarities to polychlorinated biphenyls and thyroid hormones suggest they may be a risk to human health. The present study examines the reactivity of brominated diphenyl ethers (BDEs) on the basis of the electronic structures as calculated by semiempirical AM1 self-consistent field molecular orbital (SCF-MO) method. Frontier orbital energies were used to elucidate the reactivity of BDEs in electrophilic, nucleophilic and photolytic reactions. From an examination of the frontier electron densities, the regioselectivity, or orientation, of metabolic…

Thyroid HormonesQuantitative structure–activity relationshipChromatography GasEnvironmental EngineeringHealth Toxicology and MutagenesisPolybrominated BiphenylsMolecular ConformationQuantitative Structure-Activity RelationshipEtherChemistry Techniques AnalyticalMass Spectrometrychemistry.chemical_compoundPolybrominated diphenyl ethersComputational chemistryAb initio quantum chemistry methodsEnvironmental ChemistryOrganic chemistryMolecular orbitalReactivity (chemistry)LuciferasesFlame RetardantsPhenyl EthersPublic Health Environmental and Occupational HealthRegioselectivityGeneral MedicineGeneral ChemistryPollutionchemistryElectrophileChemosphere
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Elucidating the aryl hydrocarbon receptor antagonism from a chemical-structural perspective.

2020

The aryl hydrocarbon receptor (AhR) plays an important role in several biological processes such as reproduction, immunity and homoeostasis. However, little is known on the chemical-structural and physicochemical features that influence the activity of AhR antagonistic modulators. In the present report, in vitro AhR antagonistic activity evaluations, based on a chemical-activated luciferase gene expression (AhR-CALUX) bioassay, and an extensive literature review were performed with the aim of constructing a structurally diverse database of contaminants and potentially toxic chemicals. Subsequently, QSAR models based on Linear Discriminant Analysis and Logistic Regression, as well as two tox…

ToxicophoreModels MolecularQuantitative structure–activity relationshipCell SurvivalRecombinant Fusion ProteinsQuantitative Structure-Activity RelationshipBioengineeringComputational biology01 natural sciencesSmall Molecule LibrariesCell Line TumorDrug DiscoveryCALUXBioassayAnimalsToxicologiaLuciferase GeneLuciferasesbiology010405 organic chemistryChemistryRobustness (evolution)Reproducibility of ResultsGeneral Medicinerespiratory systemAryl hydrocarbon receptor0104 chemical sciences010404 medicinal & biomolecular chemistryEstructura químicaReceptors Aryl Hydrocarbonbiology.proteinMolecular MedicineEnvironmental PollutantsAntagonismProteïnesSAR and QSAR in environmental research
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Enantioseparations with polysaccharide-based chiral stationary phases in HPLC. Application to the enantioselective evaluation of the biodegradability…

2023

The chiral nature of living systems has obvious implications for the biologically active compounds that interact with them. At the molecular level, chirality represents an intrinsic property of the essential building blocks of life, such as amino acids and sugars, and therefore, of peptides, proteins, enzymes, carbohydrates, nucleosides and a number of alkaloids and hormones. As a consequence, processes mediated by biological systems are stereochemistry-sensitive, and a pair of enantiomers can have different effects on living organisms. The scientific community has been studying the implications of chirality for life for more than a century. Today, it is still a topic of active research and…

UNESCO::CIENCIAS TECNOLÓGICAS::Ingeniería y tecnología del medio ambiente::Control de la contaminación del aguaquantitative structure-property relationship modelspolysaccharide-based chiral stationary phasesbiodegradability testsUNESCO::QUÍMICA::Química analíticaUNESCO::QUÍMICA::Química analítica::Análisis cromatográficoUNESCO::MATEMÁTICAS::Estadística ::Análisis multivariantehydro-organic mobile phases compatible with mass detectionpeak models
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QSPR with descriptors based on averages of vertex invariants. An artificial neural network study

2014

New type of indices, the mean molecular connectivity indices (MMCI), based on nine different concepts of mean are proposed to model, together with molecular connectivity indices (MCI), experimental parameters and random variables, eleven properties of organic solvents. Two model methodologies are used to test the different descriptors: the multilinear least-squares (MLS) methodology and the Artificial Neural Network (ANN) methodology. The top three quantitative structure–property relationships (QSPR) for each property are chosen with the MLS method. The indices of these three QSPRs were used to train the ANNs that selected the best training sets of indices to estimate the evaluation sets of…

Vertex (graph theory)Multilinear mapQuantitative structure–activity relationshipArtificial neural networkGeneral Chemical EngineeringGeneral ChemistryBiological systemRandom variableMathematicsRSC Adv.
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QSPR/QSAR Studies of 2-Furylethylenes Using Bond-Level Quadratic Indices and Comparison with Other Computational Approaches

2017

The recently introduced, non-stochastic and stochastic quadratic indices (Marrero-Ponce <em>et al. J. Comp. Aided Mol. Des.</em> 2006, 20, 685-701) were applied to QSAR/QSPR studies of heteroatomic molecules. These novel bond-based molecular descriptors (MDs) were used for the prediction of the partition coefficient (log P), and the antibacterial activity of 34 derivatives of 2-furylethylenes. Two statistically significant QSPR models using non-stochastic and stochastic bond-based quadratic indices were obtained (R<sup>2</sup> = 0.971, s = 0.137 and R<sup>2</sup> = 0.986, s = 0.096). These models showed good stability to data variation in leave-one-out (L…

Vertex (graph theory)Quantitative structure–activity relationshipQuadratic equationDiscriminantMolecular descriptorStochastic matrixMoleculeGeneral ChemistryBiological systemStability (probability)MathematicsJournal of the Mexican Chemical Society
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