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Chemoinformatics

Chemoinformatics
化学信息学
批准号:
8010989
负责人:
Ivet Bahar
金额:
$21.39万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2015-08-31
关键词:
2-cyclopentyl-5-(5-isoquinolylsulfonyl)-6-nitro-1H-benzo(D)imidazoleAdverse effectsAffectAffinityApoptosisAreaBindingBinding SitesBiologicalBiological AssayBiological AvailabilityBiological TestingBiologyBrainCYP3A4 geneCell physiologyChemicalsClinicalComputational BiologyComputer AssistedComputer SimulationComputer softwareComputing MethodologiesCoordination and CollaborationCytochrome P450DataData SetDatabasesDescriptorDevelopmentDockingDrug Delivery SystemsDrug DesignDrug InteractionsDrug toxicityEffectivenessEnzyme InhibitionEnzymesError SourcesEthersEvaluationEventExcretory functionExhibitsFamilyGenesGoalsHandHepatocyteHomologous GeneHousingHumanInstitutesIntestinal AbsorptionIntestinesIsoenzymesLeadLeast-Squares AnalysisLibrariesLigand BindingLigandsLiverLungMeasurementMetabolismMethodologyMethodsMiningMitochondriaModelingMolecularOralOxidoreductaseParticipantPathway interactionsPermeabilityPharmaceutical PreparationsPhysiologicalPhysiological ProcessesPropertyProteinsQuantitative Structure-Activity RelationshipRadiationReportingResourcesSamplingScreening procedureSiteSkinSmall Interfering RNASolubilitySolutionsSpace ModelsStagingStructureSurfaceTestingTimeToxic effectTrainingUnited States National Institutes of HealthUniversitiesWorkZincabsorptionaqueousbasecomputational chemistrydesigndrug discoverydrug metabolismflexibilityinhibitor/antagonistinterestkidney celllipophilicitynovelpharmacophoreprotein protein interactionscaffoldsmall moleculesmall molecule librariestoolvirtual

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The specific aims ofthe Chemoinformatics core are the following: A.I. Contribute computational expertise to the hit-to-lead activities, library design, lead optimization and identification of potential mitigators of radiation damage at the CMCR A.2. Provide computer-aided predictions of drug toxicity and metabolism A.3. Identify target-mitigator interaction pathways and networks to correlate molecular functions to physiological processes that will help in designing safe and efficient mitigators of radiation damage. The Computational Chemistry and Compu-tational Biology resources from the Department of Computational Biology (DCB) will be used to integrate workflow and dataflow for optimum effectiveness in achieving the goals ofthe CMCR projects. This integration, as indicated in Figure 1, will make possible a fast iterative virtual screening to help the project participants effectively prioritize synthesis and screening efforts.
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Toward a deeper understanding of allostery and allotargeting by computational approaches
Toward a deeper understanding of allostery and allotargeting by computational approaches
Toward a deeper understanding of allostery and allotargeting by computational approaches
Toward a deeper understanding of allostery and allotargeting by computational approaches
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