Visant-Predictome: A System for Integration, Mining, Visualization and Analysis
Visant-Predictome: A System for Integration, Mining, Visualization and Analysis
批准号:
8502710
负责人:
CHARLES DELISI
金额:
$75.12万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-07-01 至 2016-06-30
关键词:
AlgorithmsCellsCharacteristicsClassificationClinical MedicineCommunicationComplexComputer SystemsComputing MethodologiesDNADataData DisplayData SetDatabasesDevelopmentDiseaseDrug CompoundingDrug TargetingEquilibriumGenbankGene ProteinsGenesGeneticGenomeGenomicsGoalsImageryJournalsKnowledgeLaboratoriesLeadLiteratureMapsMetabolicMetabolic PathwayMetabolismMethodsMiningModelingMolecularMolecular AnalysisMovementMusNetwork-basedOnline SystemsPathway interactionsPerformancePharmaceutical PreparationsPhenotypePhysiologicalPlug-inProceduresPropertyProteinsProtocols documentationReactionRegulationReportingResearchResourcesScienceSimulateSiteSpecific qualifier valueStructural ProteinSystemSystems BiologySystems IntegrationTimeTranscriptional RegulationVisualWorkWritingbasechemical reactiondesignflexibilitymodels and simulationoutreachreconstructionsimulationsmall moleculetext searchingtoolwiki
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): Project Summary A central challenge for systems biology is to transform the data deluge characteristic of the post- genomic world, into the kind of knowledge that will lead to advances in biomedical science and clinical medicine. The transformation requires computer systems that will enable organizing, mining, analyzing and displaying the data in a manner that both informs and drives new hypotheses. VisANT (a visualization, mining system) and Predictome (an integrated database component) form an online graphical workspace and interface for principled integration, mining, discovery, and analysis of molecular networks. The system currently includes, or seamlessly accesses, data sets based on some 70 laboratory and computational methods, and more than 100 species. It has a distinguished and active advisory Board, more than 1000 registered users, is accessed by more than 1100 independent sites per month and has been cited approximately 300 times in the scientific literature. We propose substantially expanding the range of VisANT by including metabolic, chemical reaction, drug and disease related data. Equally importantly, a central goal of VisANT has been integration, and we will substantially extend its integrative capabilities, enabling the identification of disease related pathways, of similarities in mechanisms between phenotypically distinct diseases, and the identification of potential lead compounds for therapy. At the same time we propose substantial expansion of our outreach activities, and movement toward a true many-to many communication and discovery system.
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依托单位:
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资助金额:$17.81万
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依托单位:
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批准号:6748309
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