Search results for "Computation"

showing 10 items of 7362 documents

Effective approach for calculations of absolute stability of proteins using focused dielectric constants

2009

The ability to predict the absolute stability of proteins based on their corresponding sequence and structure is a problem of great fundamental and practical importance. In this work, we report an extensive, refinement and validation of our recent approach (Roca et al., FEBS Lett 2007;581:2065-2071) for predicting absolute values of protein stability DeltaG(fold). This approach employs the semimacroscopic protein dipole Langevin dipole method in its linear response approximation version (PDLD/S-LRA) while using the best fitted values of the dielectric constants epsilon'(p) and epsilon'(eff) for the self energy and charge-charge interactions, respectively. The method is validated on a divers…

Quantitative Biology::BiomoleculesWork (thermodynamics)ChemistryThermodynamicsDielectricBiochemistryDipoleProtein stabilityProtein structureStructural BiologyComputational chemistryStatic electricityProtein foldingAbsolute stabilityMolecular BiologyProteins: Structure, Function, and Bioinformatics
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Formation of Micelles in Homopolymer-Copolymer Mixtures:  Quantitative Comparison between Simulations of Long Chains and Self-Consistent Field Calcul…

2006

Using Monte Carlo simulations of the bond fluctuation model and self-consistent field calculations, we study the formation of micelles in a mixture of homopolymers and asymmetric AB-diblock copolymers with composition, fA = 1/8. Both types of molecules are fully flexible and have identical length. We work in the semi-grand-canonical ensemble, i.e., we fix the monomer density and incompatibility, χN ≃ 100 (strong segregation regime), and control the composition of the mixture via the exchange chemical potential, δμ ≡ μAB − μB between the copolymers and homopolymers. The Monte Carlo simulation comprises moves that allow homopolymers to mutate into AB-diblock copolymers and vice versa. These m…

Quantitative Biology::BiomoleculesWork (thermodynamics)Polymers and PlasticsField (physics)ChemistryOrganic ChemistryMonte Carlo methodThermodynamicsGyrationMicelleCondensed Matter::Soft Condensed MatterInorganic ChemistryComputational chemistryCritical micelle concentrationMaterials ChemistryCopolymerMoleculeMacromolecules
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Power-law hereditariness of hierarchical fractal bones

2013

SUMMARY In this paper, the authors introduce a hierarchic fractal model to describe bone hereditariness. Indeed, experimental data of stress relaxation or creep functions obtained by compressive/tensile tests have been proved to be fit by power law with real exponent 0 ⩽ β ⩽1. The rheological behavior of the material has therefore been obtained, using the Boltzmann–Volterra superposition principle, in terms of real order integrals and derivatives (fractional-order calculus). It is shown that the power laws describing creep/relaxation of bone tissue may be obtained by introducing a fractal description of bone cross-section, and the Hausdorff dimension of the fractal geometry is then related …

Quantitative Biology::Tissues and OrgansApplied MathematicsMathematical analysisBiomedical EngineeringPower lawFractional calculusSuperposition principleFractalComputational Theory and MathematicsModeling and SimulationHausdorff dimensionStress relaxationExponentRelaxation (approximation)Molecular BiologySoftwareMathematicsInternational Journal for Numerical Methods in Biomedical Engineering
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Polarity study of ionic liquids with the solvatochromic dye Nile Red: a QSPR approach using in silico VolSurf+ descriptors

2016

The in silico VolSurfþ descriptors, accounting for both cationic and anionic structural features of ionic liquids (ILs) were used to develop a Partial Least Squares (PLS) model able to establish a Quantitative Structure Property Relationship (QSPR) correlation with their solvatochromic dye Nile Red polarity. The PLS model allowed prediction of ENR values for 116 ILs providing an in silico ILs polarity database.

Quantitative structure–activity relationship010405 organic chemistryPolarity (physics)In silicoOrganic ChemistrySolvatochromismNile redIonic Liquids Polarity Nile Red QSPRSettore CHIM/06 - Chimica Organica010402 general chemistry01 natural sciencesBiochemistry0104 chemical sciencesQuantitative Structure Property Relationshipchemistry.chemical_compoundchemistryComputational chemistryDrug DiscoveryIonic liquidPartial least squares regressionOrganic chemistryTetrahedron
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Interaction between flavour compounds and beta-lactoglobulin: approach by NMR and 2D/3D-QSAR studies of ligands

2004

 author cannot archive publisher's version/PDF; International audience; Interactions between flavour compounds and beta-lactoglobulin (BLG) have been the subject of several studies, but there are no unanimous binding site explanations. In our laboratory, interactions between BLG, and two flavour compounds, beta-ionone and gamma-decalactone, were studied by 2D-NMR spectroscopy. It appears that several amino acids affected by binding of gamma-decalactone are buried in the central cavity, whereas binding of beta-ionone affects amino acids located in a groove near the outer surface of the protein. 2D/3D-QSAR studies were performed using QSAR+ module of Cerius2 and Catalyst. The QSAR equation pr…

Quantitative structure–activity relationshipAROMAMolecular modelStereochemistry01 natural sciences03 medical and health sciencesComputational chemistryMolecular descriptor[SDV.IDA]Life Sciences [q-bio]/Food engineeringFLAVOURBinding site030304 developmental biology3D-QSAR0303 health sciencesChemistryHydrogen bondLigand[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringGeneral Chemistry[SDV.IDA] Life Sciences [q-bio]/Food engineeringAffinitiesBETA-LACTOGLOBULIN0104 chemical sciences010404 medicinal & biomolecular chemistry2D-QSAR2D-NMRTwo-dimensional nuclear magnetic resonance spectroscopyFood Science
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Biopartitioning micellar chromatoraphy to predict blood to lung, blood to liver, blood to fat and blood to skin partition coefficients of drugs

2009

[EN] Biopartitioning micellar chromatography (BMC), a mode of micellar liquid chromatography that uses micellar mobile phases of Brij35 in adequate experimental conditions, has demonstrated to be useful in mimicking the drug partitioning process into biological systems. In this paper, the usefulness of BMC for predicting the partition coefficients from blood to lung, blood to liver. blood to fat and blood to skin is demonstrated. PLS2 and multiple linear regression (MLR) models based on BMC retention data are proposed and compared with other ones reported in bibliography. The proposed models present better or similar descriptive and predictive capability. (C) 2008 Elsevier B.V. All rights r…

Quantitative structure–activity relationshipBlood to skinQuantitative Structure-Activity RelationshipPredictive capabilityPartition coefficientsBiochemistryAnalytical ChemistryPharmacokineticsBlood to lungLinear regressionQUIMICA ANALITICAmedicineAnimalsHumansEnvironmental ChemistryPharmacokineticsTissue DistributionLungMicellesSpectroscopySkinLungChromatographyChemistryComputational BiologyChromatography liquidBiopartitioning micellar chromatographyRatsPartition coefficientmedicine.anatomical_structureAdipose TissueLiverPharmaceutical PreparationsMicellar liquid chromatographyLinear ModelsBlood to fatRabbitsChromatography LiquidBlood to liver
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Novel Cancer Chemotherapy Hits by Molecular Topology: Dual Akt and Beta-Catenin Inhibitors

2015

Background and purposeColorectal and prostate cancers are two of the most common types and cause of a high rate of deaths worldwide. Therefore, any strategy to stop or at least slacken the development and progression of malignant cells is an important therapeutic choice. The aim of the present work is the identification of novel cancer chemotherapy agents. Nowadays, many different drug discovery approaches are available, but this paper focuses on Molecular Topology, which has already demonstrated its extraordinary efficacy in this field, particularly in the identification of new hit and lead compounds against cancer. This methodology uses the graph theoretical formalism to numerically chara…

Quantitative structure–activity relationshipCell SurvivalColorectal cancerScienceQuantitative Structure-Activity RelationshipAntineoplastic AgentsComputational biologyBiologyBioinformaticsProstate cancerCell Line TumorNeoplasmsDrug DiscoverymedicineHumansProtein Kinase InhibitorsProtein kinase Bbeta CateninPI3K/AKT/mTOR pathwayBiological ProductsMultidisciplinaryMolecular StructureDrug discoveryTOR Serine-Threonine KinasesQRBiological activitymedicine.diseaseMedicineTOR Serine-Threonine KinasesProto-Oncogene Proteins c-aktSignal TransductionResearch ArticlePLOS ONE
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Use of Catalyst in a 3D-QSAR Study of the Interactions between Flavor Compounds and β-Lactoglobulin

2003

This paper reports a 3D-QSAR study using Catalyst software to explain the nature of interactions between flavor compounds and beta-lactoglobulin. A set of 35 compounds, for which dissociation constants were previously determined by affinity chromatography, was chosen. The set was divided into three subsets. An automated hypothesis generation, using HypoGen software, produced a model that made a valuable estimation of affinity and provided an explanation for the lack of correlation previously observed between the hydrophobicity of terpenes and the affinity for the protein. On the basis of these results, it appears that aroma binding to beta-lactoglobulin is caused by both hydrophobic interac…

Quantitative structure–activity relationshipChemical PhenomenaChemistry PhysicalTerpenesChemistryStereochemistryQuantitative Structure-Activity RelationshipHydrogen BondingLactoglobulinsGeneral ChemistryCatalysisDissociation constantModels ChemicalComputational chemistryOdorantsComputer SimulationDrug InteractionsGeneral Agricultural and Biological SciencesSoftwareFlavorJournal of Agricultural and Food Chemistry
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Bond-extended stochastic and nonstochastic bilinear indices. I. QSPR/QSAR applications to the description of properties/activities of small-medium si…

2010

Bond-extended stochastic and nonstochastic bilinear indices are introduced in this article as novel bond-level molecular descriptors (MDs). These novel totals (whole-molecule) MDs are based on bilinear maps (forms) similar to use defined in linear algebra. The proposed nonstochastic indices try to match molecular structure provided by the molecular topology by using the kth Edge(Bond)-Adjacency Matrix (Ek, designed here as a nonstochastic E matrix). The stochastic parameters are computed by using the kth stochastic edge-adjacency matrix, ESk, as matrix operators of bilinear transformations. This new edge (bond)-adjacency relationship can be obtained directly from Ek and can be considered li…

Quantitative structure–activity relationshipChemistryBilinear interpolationCondensed Matter PhysicsAtomic and Molecular Physics and Opticschemistry.chemical_compoundsymbols.namesakeComputational chemistryPolarizabilityMolecular descriptorLinear regressionLinear algebrasymbolsApplied mathematicsMolecular graphPhysical and Theoretical Chemistryvan der Waals forceInternational Journal of Quantum Chemistry
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Application of molecular topology to the prediction of potency and selection of novel insecticides active against malaria vectors

2005

Abstract A study on the basis of molecular topology has been carried out to predict the potency of insecticides active against malaria vectors (Culex) as well as to select novel compounds potentially active on those vectors. The results, performed over two sets of compounds, namely hormone-like and ‘common’ or wide-spectra insecticides, demonstrate that the adequate combination of topological charge indices and simple topological-geometric indices, yield very good results in both, the prediction of potency and the selection of new insecticides. Further development should be addressed in the future; however, the achievement described here is extremely encouraging.

Quantitative structure–activity relationshipChemistryStereochemistryPotencyComputational biologyPhysical and Theoretical ChemistryMolecular topologyCondensed Matter PhysicsMalaria vectorBiochemistrySelection (genetic algorithm)Journal of Molecular Structure: THEOCHEM
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