Search results for "Machine"

showing 10 items of 2592 documents

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
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Tips and turns of bacteriophytochrome photoactivation

2020

Phytochromes are ubiquitous photosensor proteins, which control the growth, reproduction and movement in plants, fungi and bacteria. Phytochromes switch between two photophysical states depending on the light conditions. In analogy to molecular machines, light absorption induces a series of structural changes that are transduced from the bilin chromophore, through the protein, and to the output domains. Recent progress towards understanding this structural mechanism of signal transduction has been manifold. We describe this progress with a focus on bacteriophytochromes. We describe the mechanism along three structural tiers, which are the chromophore-binding pocket, the photosensory module,…

Models MolecularProtein Conformation116 Chemical sciencesHISTIDINE KINASESSIGNAL-TRANSDUCTIONfotobiologiabacteriophytochrome photoactivation010402 general chemistry01 natural sciencesbakteeritPhytochrome B03 medical and health sciencesProtein structureBacterial ProteinsINDUCED PROTON RELEASEPHYTOCHROME-BCRYSTAL-STRUCTUREPhysical and Theoretical Chemistry030304 developmental biologyINDUCED CONFORMATIONAL-CHANGESPhysics0303 health sciencesRESONANCE RAMANMechanism (biology)AGROBACTERIUM-TUMEFACIENSPhotochemical ProcessesMolecular machine0104 chemical sciencesINFRARED FLUORESCENT PROTEINSCHROMOPHORE-BINDING DOMAINBiophysics1182 Biochemistry cell and molecular biologyvalokemiaproteiinitPhytochromeSignal TransductionPhotochemical & Photobiological Sciences
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Assessing model accuracy using the homology modeling automatically software

2007

Homology modeling is a powerful technique that greatly increases the value of experimental structure determination by using the structural information of one protein to predict the structures of homologous proteins. We have previously described a method of homology modeling by satisfaction of spatial restraints (Li et al., Protein Sci 1997;6:956-970). The Homology Modeling Automatically (HOMA) web site,http://www-nmr.cabm.rutgers.edu/HOMA, is a new tool, using this method to predict 3D structure of a target protein based on the sequence alignment of the target protein to a template protein and the structure coordinates of the template. The user is presented with the resulting models, togeth…

Models MolecularProtein Conformationbusiness.industryProteinsSequence alignmentStructure validationComputational biologyProtein superfamilyMachine learningcomputer.software_genreBiochemistryHomology (biology)Structural genomicsProtein structureStructural BiologyArtificial intelligenceTarget proteinHomology modelingbusinessMolecular BiologycomputerSoftwareMathematicsProteins: Structure, Function, and Bioinformatics
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ProteoPlex: stability optimization of macromolecular complexes by sparse-matrix screening of chemical space.

2015

Molecular machines or macromolecular complexes are supramolecular assemblies of biomolecules that ensure cellular homeostasis. Structure determination of those complexes in a purified state is often a tedious undertaking due to the compositional complexity and the related relative structural instability. To improve the stability of macromolecular complexes in vitro, we present here a generic method that optimizes the stability, homogeneity and solubility of macromolecular complexes by sparse-matrix screening of their thermal unfolding behaviour in the presence of various buffers and small molecules. The method includes the automated analysis of thermal unfolding curves based on a newly deve…

Models MolecularProtein FoldingProtein ConformationSupramolecular chemistryBiochemistryArticleProtein structureComputer SimulationMolecular Biologychemistry.chemical_classificationBinding SitesBiomoleculeMolecular biophysicsCell BiologyMolecular machineChemical spacechemistryModels ChemicalChemical physicsMultiprotein ComplexesBiophysicsProtein foldingCrystallizationAlgorithmsSoftwareBiotechnologyMacromoleculeProtein BindingNature methods
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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
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Structure of the altitude adapted hemoglobin of Guinea pig in the R2-state

2010

Background: Guinea pigs are considered to be genetically adapted to a high altitude environment based on the consistent finding of a high oxygen affinity of their blood. Methodology/Principal Findings: The crystal structure of guinea pig hemoglobin at 1.8 A u resolution suggests that the increased oxygen affinity of guinea pig hemoglobin can be explained by two factors, namely a decreased stability of the Tstate and an increased stability of the R2-state. The destabilization of the T-state can be related to the substitution of a highly conserved proline (P44) to histidine (H44) in the a-subunit, which causes a steric hindrance with H97 of the b-subunit in the switch region. The stabilizatio…

Models MolecularSteric effectsGuinea PigsBiophysicslcsh:Medicinechemistry.chemical_elementCrystallography X-RayBiochemistryOxygen570 Life sciencesGuinea pigHemoglobinsAltitudeBiophysics/Macromolecular Assemblies and MachinesAnimalsProlineProtein Structure Quaternarylcsh:ScienceHistidineMultidisciplinaryProtein StabilityAltitudelcsh:ROxygen transportAdaptation PhysiologicalBiochemistry/Molecular EvolutionBiochemistry/Macromolecular Assemblies and MachinesBiochemistrychemistryBiophysicsPhysiology/Respiratory Physiologylcsh:QHemoglobinResearch Article570 Biowissenschaften
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String kernels and high-quality data set for improved prediction of kinked helices in α-helical membrane proteins.

2011

The reasons for distortions from optimal α-helical geometry are widely unknown, but their influences on structural changes of proteins are significant. Hence, their prediction is a crucial problem in structural bioinformatics. For the particular case of kink prediction, we generated a data set of 132 membrane proteins containing 1014 manually labeled helices and examined the environment of kinks. Our sequence analysis confirms the great relevance of proline and reveals disproportionately high occurrences of glycine and serine at kink positions. The structural analysis shows significantly different solvent accessible surface area mean values for kinked and nonkinked helices. More important, …

Models MolecularSupport Vector MachineProlineGeneral Chemical EngineeringGlycineLibrary and Information SciencesProtein Structure SecondaryAccessible surface areaSet (abstract data type)Structural bioinformaticsC++ string handlingSerineAnimalsHumansDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalChemistryComputational BiologyMembrane ProteinsGeneral ChemistryComputer Science ApplicationsData setCrystallographyMembrane proteinα helicalResearch Designlipids (amino acids peptides and proteins)Biological systemJournal of chemical information and modeling
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A Probabilistic Analysis About the Concepts of Difficulty and Usefulness of a Molecular Ranking Classification

2013

Discerning between the concepts of difficulty and usefulness of a molecular ranking classification is of significant importance in virtual design chemistry. Here, both concepts are viewed from the statistical and practical point of view according to the standard definitions of enrichment and statistical significance p-values. These parameters are useful not only to compare distinct rankings obtained for the same molecular database, but also in order to compare the ones established in distinct molecular sets from an objective point of view.

Models StatisticalPoint (typography)Computer sciencebusiness.industryGeneral MedicineMachine learningcomputer.software_genrePharmaceutical PreparationsRankingDrug DesignDrug DiscoveryComputer-Aided DesignMolecular MedicineProbabilistic analysis of algorithmsArtificial intelligencebusinesscomputerAlgorithmsCurrent Computer Aided-Drug Design
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How Correlated Are Community-Aware and Classical Centrality Measures in Complex Networks?

2021

Unlike classical centrality measures, recently developed community-aware centrality measures use a network’s community structure to identify influential nodes in complex networks. This paper investigates their relationship on a set of fifty real-world networks originating from various domains. Results show that classical and community-aware centrality measures generally exhibit low to medium correlation values. These results are consistent across networks. Transitivity and efficiency are the most influential macroscopic network features driving the correlation variation between classical and community-aware centrality measures. Additionally, the mixing parameter, the modularity, and the Max…

Modularity (networks)Transitive relationTheoretical computer scienceComputer scienceCommunity structureComplex network01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]010305 fluids & plasmasCorrelationMixing (mathematics)[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]0103 physical sciences[INFO]Computer Science [cs]010306 general physicsCentralitySet (psychology)ComputingMilieux_MISCELLANEOUS
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An Ex-vivo Shear and tensile bond strengths of orthodontic molar tubes bonded using different techniques

2017

Background Molar bonding procedures need continuous improvement to be widely accepted clinically and eventually replace molar bands. Material and methods The purpose of this study was to determine the effects of enamel micro-abrasion and silane coating of the base of molar tubes on shear and tensile bond strengths of orthodontic molar tubes. A total of 200 third molars were randomly allocated into five groups of 40 teeth as follows: group 1: molar tubes bonded to etched teeth (37% phosphoric acid gel; control group); group 2: molar tubes bonded to etched teeth (37% phosphoric acid) with the addition of silane to the base of molar tubes; group 3: molar tubes bonded to teeth pre-treated with …

MolarMaterials scienceDentistry030207 dermatology & venereal diseases03 medical and health scienceschemistry.chemical_compound0302 clinical medicinestomatognathic systemUltimate tensile strengthShear strengthComposite materialGeneral DentistryPhosphoric acidUniversal testing machineEnamel paintbusiness.industryBond strength030206 dentistry:CIENCIAS MÉDICAS [UNESCO]Silanestomatognathic diseaseschemistryvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumbusiness
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