Search results for "Computer Science Application"

showing 10 items of 3998 documents

3-Chlorotyramine Acting as Ligand of the D2 Dopamine Receptor. Molecular Modeling, Synthesis and D2 Receptor Affinity.

2014

We synthesized and tested 3-chlorotyramine as a ligand of the D2 dopamine receptor. This compound displayed a similar affinity by this receptor to that previously reported for dopamine. In order to understand further the experimental results we performed a molecular modeling study of 3-chlorotyramine and structurally related compounds. By combining molecular dynamics simulations with semiempirical (PM6), ab initio and density functional theory calculations, a simple and generally applicable procedure to evaluate the binding energies of these ligands interacting with the D2 dopamine receptors is reported here. These results provided a clear picture of the binding interactions of these compou…

Models MolecularMolecular modelChemistryReceptors Dopamine D2Organic ChemistryBinding energyAtoms in moleculesAb initioTyramineComputer Science ApplicationsMolecular dynamicsDopamine D2 Receptor AntagonistsStructural BiologyDopamine receptorComputational chemistryDopamine receptor D2Drug DiscoveryHydrocarbons ChlorinatedMolecular MedicineHumansDensity functional theoryMolecular informatics
researchProduct

Molecular Rearrangement of an Aza-Scorpiand Macrocycle Induced by pH: A Computational Study †

2016

Rearrangements and their control are a hot topic in supramolecular chemistry due to the possibilities that these phenomena open in the design of synthetic receptors and molecular machines. Macrocycle aza-scorpiands constitute an interesting system that can reorganize their spatial structure depending on pH variations or the presence of metal cations. In this study, the relative stabilities of these conformations were predicted computationally by semi-empirical and density functional theory approximations, and the reorganization from closed to open conformations was simulated by using the Monte Carlo multiple minimum method Financial support by the Spanish Ministerio de Economía y Competitiv…

Models MolecularMontecarlo Mètode deMonte Carlo method01 natural sciencessupramolecular chemistryMonte Carlo Multiple Minimumlcsh:ChemistryComputational chemistryaza-scorpiandsMolecular rearrangementpH controlled; supramolecular chemistry; synthetic receptors; aza-scorpiands; semi-empirical; Density Functional Theory; Monte Carlo Multiple Minimumlcsh:QH301-705.5semi-empiricalSpectroscopyDensity Functional TheoryDensity functionalsSpatial structureChemistryGeneral MedicineHydrogen-Ion ConcentrationMolecular machineComputer Science ApplicationsMonte Carlo methodpH controlledvisual_artsynthetic receptorsvisual_art.visual_art_mediumDensity functional theoryMonte Carlo MethodMacrocyclic CompoundsSupramolecular chemistry010402 general chemistryQuímica supramolecularCatalysisArticleInorganic ChemistryMetalQuantitative Biology::Subcellular ProcessesPhysical and Theoretical ChemistryMolecular BiologyAza CompoundsFuncional de densitat Teoria del010405 organic chemistryOrganic ChemistryComputational Biology0104 chemical scienceslcsh:Biology (General)lcsh:QD1-999Synthetic ReceptorsQuantum TheorySupramolecular chemistryInternational Journal of Molecular Sciences
researchProduct

Docking and multivariate methods to explore HIV-1 drug-resistance: a comparative analysis

2007

In this paper we describe a comparative analysis between multivariate and docking methods in the study of the drug resistance to the reverse transcriptase and the protease inhibitors. In our early papers we developed a simple but efficient method to evaluate the features of compounds that are less likely to trigger resistance or are effective against mutant HIV strains, using the multivariate statistical procedures PCA and DA. In the attempt to create a more solid background for the prediction of susceptibility or resistance, we carried out a comparative analysis between our previous multivariate approach and molecular docking study. The intent of this paper is not only to find further supp…

Models MolecularMultivariate statisticsMultivariate analysisAnti-HIV AgentsCombined useHuman immunodeficiency virus (HIV)Computational biologyDrug resistanceBiologyLigandsBioinformaticsmedicine.disease_causeHIV ProteaseMolecular descriptorDrug Resistance ViralDrug DiscoverymedicineHumansDOCKINGPhysical and Theoretical ChemistryBinding SitesHIV Protease InhibitorsSettore CHIM/08 - Chimica FarmaceuticaHIV Reverse TranscriptaseComputer Science ApplicationsDRUG RESISTANCEDocking (molecular)Drug DesignMultivariate AnalysisMutationHIV-1Computer-Aided DesignReverse Transcriptase InhibitorsMultivariate statisticalJournal of Computer-Aided Molecular Design
researchProduct

In-silico screening of new potential Bcl-2/Bcl-xl inhibitors as apoptosis modulators

2008

One of the major problems in the fight against cancer is drug-resistance, which, at a molecular level, can be acquired through mutations able to deactivate apoptosis. In particular, proteins in the Bcl-2 family are central regulators of programmed cell death, and members that inhibit apoptosis, such as Bcl-xl and Bcl-2, are overexpressed in many tumours. The development of new inhibitors of these proteins as potential anticancer therapeutics represents a new frontier. In this work, we carried out an in-silico screening of compounds from a free database of more than 2 million structures (ZINC database), which allowed us to identify 17 sulfonamide derivatives as new potential inhibitors; thes…

Models MolecularProgrammed cell deathDatabases FactualIn silicobcl-X ProteinAntineoplastic AgentsApoptosisBcl-xLDrug resistanceBiologyCatalysisInorganic ChemistryNeoplasmsmedicineAnimalsHumansPhysical and Theoretical ChemistryOrganic ChemistrySulfonamide (medicine)CancerApoptosis Bcl-2 Bcl-xl Inhibitors Molecular dockingmedicine.diseaseSettore CHIM/08 - Chimica FarmaceuticaMolecular medicineComputer Science ApplicationsCell biologyComputational Theory and MathematicsDrug Resistance NeoplasmApoptosisCancer researchbiology.proteinDrug Screening Assays Antitumormedicine.drugJournal of Molecular Modeling
researchProduct

On the Applicability of Elastic Network Normal Modes in Small-Molecule Docking

2012

Incorporating backbone flexibility into protein-ligand docking is still a challenging problem. In protein-protein docking, normal mode analysis (NMA) has become increasingly popular as it can be used to describe the collective motions of a biological system, but the question of whether NMA can also be useful in predicting the conformational changes observed upon small-molecule binding has only been addressed in a few case studies. Here, we describe a large-scale study on the applicability of NMA for protein-ligand docking using 433 apo/holo pairs of the Astex data sets. On the basis of sets of the first normal modes from the apo structure, we first generated for each paired holo structure a…

Models MolecularProtein ConformationComputer scienceGeneral Chemical Engineeringfood and beveragesGeneral ChemistryLibrary and Information SciencesElastic networkSmall moleculeElasticityComputer Science ApplicationsSmall Molecule LibrariesProtein–ligand dockingNormal modeDocking (molecular)Searching the conformational space for dockingComputational chemistryApoproteinsBiological systemJournal of Chemical Information and Modeling
researchProduct

Homology models of melatonin receptors: challenges and recent advances

2013

Melatonin exerts many of its actions through the activation of two G protein-coupled receptors (GPCRs), named MT1 and MT2. So far, a number of different MT1 and MT2 receptor homology models, built either from the prototypic structure of rhodopsin or from recently solved X-ray structures of druggable GPCRs, have been proposed. These receptor models differ in the binding modes hypothesized for melatonin and melatonergic ligands, with distinct patterns of ligand-receptor interactions and putative bioactive conformations of ligands. The receptor models will be described, and they will be discussed in light of the available information from mutagenesis experiments and ligand-based pharmacophore …

Models MolecularProtein Conformationhomology modelingMolecular Sequence DataDruggabilityReviewComputational biologyLigandsBioinformaticsCatalysisInorganic Chemistrylcsh:ChemistryStructure-Activity Relationshipmelatonin receptorsAnimalsHumansAmino Acid SequenceHomology modelingmelatonin receptors; MT1; MT2; homology modeling; structure-activity relationships; docking; molecular dynamics simulationsPhysical and Theoretical ChemistryReceptorMolecular Biologylcsh:QH301-705.5SpectroscopyMelatoninG protein-coupled receptorBinding SitesSequence Homology Amino AcidbiologyReceptor Melatonin MT2Receptor Melatonin MT1MT1Organic ChemistryMT2structure-activity relationshipsGeneral Medicinemolecular dynamics simulationsComputer Science ApplicationsMelatonergiclcsh:Biology (General)lcsh:QD1-999Structural Homology ProteinDocking (molecular)RhodopsindockingMutagenesis Site-Directedbiology.proteinPharmacophore
researchProduct

Receptor-guided 3D-QSAR approach for the discovery of c-kit tyrosine kinase inhibitors

2012

Studies of the the three-dimensional quantitative structure–activity relationships for ninety-five c-kit tyrosine kinase inhibitors were performed. Based on a co-crystallized compound (1 T46), known inhibitors were aligned with c-kit by induced-fit docking, and multiple training/test set splitting was performed to validate the selected pharmacophore model. The best pharmacophore model consisted of five features: one hydrogen-bond donor and four aromatic rings. Reliable statistics were obtained (R 2 = 0.95, R pred 2  = 0.75), and the model was validated by using it to select c-kit inhibitors from a database; 82.1% of the hits it retrieved were active. Accordingly, our model can be reliably u…

Models MolecularQuantitative structure–activity relationshipChemistryStereochemistryOrganic ChemistryQuantitative Structure-Activity RelationshipC-kit . 3D-QSAR . Kohonen maps . Induced-fit dockingSettore CHIM/08 - Chimica FarmaceuticaCatalysisComputer Science ApplicationsInorganic ChemistryProto-Oncogene Proteins c-kitComputational Theory and MathematicsDocking (molecular)Drug DiscoveryPhysical and Theoretical ChemistryPharmacophoreReceptorTyrosine kinaseProtein Kinase Inhibitors
researchProduct

Identification of New Templates for the Synthesis of BEA, BEC, and ISV Zeolites Using Molecular Topology and Monte Carlo Techniques

2020

The presence of organic structure directing agents (templates) in the synthesis of zeolites allows the synthesis to be directed, in many cases, toward structures in which there is a large stabilization between the template and the zeolite micropore due to dispersion interactions. Although other factors are also important (temperature, pH, Si/Al ratio, etc.), systems with strong zeolite-template interactions are good candidates for an application of new computational algorithms, for instance those based in molecular topology (MT), that can be used in combination with large databases of organic molecules. Computational design of new templates allows the synthesis of existing and new zeolites …

Models MolecularQuantitative structure–activity relationshipMaterials science010304 chemical physicsGeneral Chemical EngineeringMonte Carlo methodGeneral ChemistryMicroporous materialLibrary and Information Sciences01 natural sciences0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistryIdentification (information)Template0103 physical sciencesZeolitesMoleculeMinificationMolecular topologyBiological systemMonte Carlo MethodJournal of Chemical Information and Modeling
researchProduct

Structural, chemical topological, electrotopological and electronic structure hypotheses.

2003

The first important hypothesis in the prediction of properties of synthesized molecules is the structural hypothesis. In the study of drug-receptor interactions, the case where the three-dimensional structure of the receptor is known allows the application of molecular simulation and energy calculations to estimate the binding affinity for a proposed series of compounds. The chemical topological hypothesis permits the description of molecular structures without using concepts such as force or energy. These notions would not be as dominant as supposed since they should be able to be deduced from topology. Although topological descriptors are able to describe specific physicochemical properti…

Models MolecularQuantitative structure–activity relationshipProperty (philosophy)Similarity (geometry)Series (mathematics)Molecular StructureComputer scienceOrganic ChemistryStructure (category theory)Quantitative Structure-Activity RelationshipElectronsGeneral MedicineElectronic structureTopologyComputer Science ApplicationsInterpretation (model theory)Drug DiscoveryTopology (chemistry)Combinatorial chemistryhigh throughput screening
researchProduct

Computational Methods in Developing Quantitative Structure-Activity Relationships (QSAR): A Review

2006

Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complementing the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationship (QSAR) analysis, a field with established methodology and successful history. In this review, we discuss the computational methods for building QSAR models. We start with outlining their usefulness in high-throughput screening and identifying the general scheme of a QSAR model. Following, we focus on the methodologies in constructing three main components of QSAR model, namely the methods for describing the molecular structure …

Models MolecularQuantitative structure–activity relationshipbusiness.industryComputer scienceOrganic ChemistryQuantitative Structure-Activity RelationshipQuantitative structureFeature selectionGeneral MedicineMachine learningcomputer.software_genreCombinatorial chemistryField (computer science)Computer Science ApplicationsDomain (software engineering)Molecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerApplicability domainCombinatorial Chemistry & High Throughput Screening
researchProduct