Development and Commercialization of the Microphysiological Systems Database as a Sustainable Resource
Development and Commercialization of the Microphysiological Systems Database as a Sustainable Resource
批准号:
10312124
负责人:
ALBERT H GOUGH
金额:
$148.18万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-12-05 至 2023-11-30
关键词:
AdoptionAnimal OrganAnimalsBiological SciencesBiotechnologyBusinessesClinicalCollaborationsCommunitiesComplementComputer ModelsDataDatabase Management SystemsDatabasesDevelopmentDisease PathwayDisease ProgressionEnsureExperimental ModelsFunctional disorderFutureGoalsHumanIndustrializationIndustryInfrastructureJointsKnowledgeLeadLicensingMaintenanceMarketingMeasuresMetadataMethodsPerformancePersonsPhysiologyProcessProviderQuality ControlReproducibilityResearchResearch PersonnelResource SharingResourcesSalesSecureSecuritySiteStatistical Data InterpretationStructureTechnologyTestingTissue BanksTissue MicroarrayToxicologyTranslationsWorkcommercializationcomparativecontrolled releasedata miningdata modelingdata qualitydata sharingdesigndrug discoverydrug efficacyexperiencefederated computingfirewallimprovedin vivoinformation modelinnovationmedication safetymembermicrophysiology systemnew technologyopen sourcepre-clinicalprogramsquality assurancerecruitsuccesssustainable resourcetool
中文摘要
摘要
英文摘要
Abstract
The Micorphysiology Systems Database Center (MPS-DbC) developed and implemented the
Microphysiology database (MPS-Db) enabling the management, analysis, sharing, integration of
diverse information and computational modeling of data in one platform, improving the
systematic way MPS users work. Aggregation of metadata, experimental data, and references
provides for robust and relevant interpretation of the results, and having the data centrally
located facilitates data sharing among user-defined collaborators and groups. Ready access to
experimental data, metadata, and reference data in a mineable format provides a convenient
platform for statistical analysis of MPS performance, and building computational modeling tools
to predict PK, identify compound mechanisms of actions, and infer pathways of disease
progression. We have been assisting users in capturing and managing MPS data, and the
MPS-Db is the central repository for the Tissue Chip Testing Center program data. We propose
to build the research and commercial value of the MPS-Db by: 1) continuing to support MPS
users to build database content; 2) enabling on-line preclinical/clinical concordance analysis
capabilities; 3) enhancing the suite of data mining and computational modeling tools; and 4)
augmenting methods for ensuring data quality and the secure, controlled release of data to
user-defined groups. We will implement a commercial version of the MPS-Db that can reside
on a controlled network behind corporate firewalls for the management of proprietary data while
still providing access to public MPS resources. Finally, we propose to establish a self-
sustaining MPS-Db and experimental analytics company that will generate revenue from
commercial users for the maintenance and further development of the MPS-Db for all users.
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