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Carolina Exploratory Center for Cheminformatics Research

Carolina Exploratory Center for Cheminformatics Research
卡罗莱纳州化学信息学研究探索中心
批准号：
7472715
负责人：
Alexander Tropsha
金额：
$37.4万
依托单位：
UNIV OF NORTH CAROLINA CHAPEL HILL
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
项目状态：
已结题
起止时间：
2005-09-23 至 2009-07-31
来源：
https://reporter.nih.gov/project-details/7472715
关键词：
AddressAlgorithmsApplications GrantsAreaBeliefBioinformaticsBiotechnologyCategoriesCell NucleusChemicalsChemistryClassClassificationCommunitiesComputer softwareComputersDataData SetDecision MakingDescriptorDevelopmentEducational workshopEffectivenessEnvironmentEvaluationFacultyFundingGenerationsGeneric DrugsGrantHybridsIndustryInstitutionInterdisciplinary StudyKnowledgeLaboratoriesLocationMachine LearningMethodologyMethodsMiningModelingMolecularMolecular BankMolecular MedicineMolecular StructureOnline SystemsPattern RecognitionPharmacotherapyPilot ProjectsPreparationProcessPropertyPurposeRangeRelative (related person)ResearchResearch PersonnelResearch Project GrantsResourcesScienceScientistScreening procedureSeedsSiteSpecialistStructureStudentsSumTNFRSF5 geneTechniquesTestingTravelValidationVisionWorkbasechemical propertycheminformaticscomputer centercomputer scienceconceptdata miningdesignin vitro Assayinterdisciplinary approachknowledge basemodel developmentorganizational structurepredictive modelingsymposiumtooltraining project

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期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Mining connections between chemicals, proteins, and diseases extracted from Medline annotations.
DOI： 10.1016/j.jbi.2010.03.008
发表时间： 2010-08
期刊： Journal of biomedical informatics
影响因子： 4.5
作者： [Baker NC, Hemminger BM]
通讯作者： Hemminger BM
STopTox: A comprehensive in silico platform for predicting systemic and topical toxicity
  • 批准号：
    10324720
  • 项目类别：
  • 资助金额：
    $25.55万
  • 财政年份：
    2021
  • 负责人：
    Alexander Tropsha
  • 依托单位：
    PREDICTIVE, LLC
Enabling the Accelerated Discovery of Novel Chemical Probes by Integration of Crystallographic, Computational, and Synthetic Chemistry Approaches
Enabling the Accelerated Discovery of Novel Chemical Probes by Integration of Crystallographic, Computational, and Synthetic Chemistry Approaches
Artificial Intelligence Toolkit for Predicting Mixture Toxicity
  • 批准号：
    10379210
  • 项目类别：
  • 资助金额：
    $25.55万
  • 财政年份：
    2021
  • 负责人：
    Alexander Tropsha
  • 依托单位：
    PREDICTIVE, LLC
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