Comprehensive but simple encoding of bioassays to accelerate translational drug discovery
Comprehensive but simple encoding of bioassays to accelerate translational drug discovery
批准号:
9464228
负责人:
BARRY A BUNIN
金额:
$74.43万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-12-06 至 2019-11-30
关键词:
AcademiaAdoptionAlgorithmsAwarenessBioinformaticsBiologicalBiological AssayChemical StructureChemistryCollaborationsCommunitiesComplexComputer softwareDataData QualityData SetDatabasesDescriptorDevelopmentDiseaseEnglish LanguageEnsureExperimental DesignsGovernmentGuidelinesImprove AccessIncentivesIndustryInstitutesInstructionIntuitionLaboratoriesLettersMachine LearningManualsMapsMethodologyMethodsOntologyOutputPharmaceutical PreparationsPharmacologic SubstancePhasePoliciesProceduresProtocols documentationPubChemReproducibilityResearchResearch PersonnelRetrievalRoboticsScientistScreening ResultSemanticsSideSpecific qualifier valueStandardizationStructureSystemTechnologyTestingTexasTextTimeTrainingTranslatingTranslational ResearchUnited States National Institutes of HealthUniversitiesWorkbiomedical ontologycomputerized toolsdata managementdrug discoveryempoweredexperienceexperimental studyimprovedinnovationnovelpre-clinicalpreventprospectiverepositoryscaffoldscreeningtool
中文摘要
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英文摘要
PROJECT SUMMARY
Collaborative Drug Discovery, Inc. (CDD) proposes to extend its innovative software platform — BioAssay
Express (BAE, version 1.0) — which helps biologists to quickly and easily encode their plain-text biological
assay protocols into formats suitable for computational processing. In Phase 2B, CDD will further enhance
BAE so that it can markup a bioassay with a comprehensive, detailed set of annotations that completely
specifies the protocol, step by step. In its current state of development in Phase 2, BAE 1.0 enables scientists
to summarize the English language text that specifies an experimental protocol, supplementing it with
machine-interpretable descriptors. At the end of Phase 2B, BAE 2.0 will output a detailed machine-
interpretable version that will be completely equivalent to, and can optionally substitute for, the traditional
English language method description.
The enhanced BAE 2.0 software will enable scientists engaged in early stage drug discovery to efficiently and
accurately document experimental procedures and intelligently aggregate datasets across research groups. An
important benefit will be facilitating improved access, use and reproducibility by (1) flagging differences
between closely related assays; (2) correlating differences in protocols with differences in results; and (3)
improving the reproducibility of experiments conducted in different laboratories, to highlight potential causes of
divergences. The project will continue to leverage the related broad initiatives at NIH and elsewhere that are
working to promote translational research, gather screening data via open repositories, and apply sophisticated
ontologies to classify these datasets. Our project targets the intersection of these disparate initiatives and
unifies them by making their complex standards and guidelines for praxis realistically accessible to researchers
who want to focus on their scientific work
To encourage adoption, the software will prioritize intuitive ease of use by scientists who are not informatics
experts, harmonize with existing laboratory workflows, minimize the extra effort of annotation, integrate
seamlessly into preclinical data management platforms (including but not limited to CDD’s own CDD Vault),
and deliver clear and immediate benefits to the user as part of an integrated experience.
This combination of new capabilities and extreme ease of use will accelerate translational drug discovery
efforts by empowering software platforms that bridge the divide between biologists and medicinal chemists to
apply sophisticated tools — long available on the chemistry side — for the first time also to the biological side,
and thus across both domains. Existing software can already easily connect screening results to chemical
structures. This new platform will further connect these data to the purpose and methodology of the screens.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Virtual Approaches to New Chemistries
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批准号:10447249
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项目类别:
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资助金额:$44.0万
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财政年份:2022
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负责人:BARRY A BUNIN
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依托单位:
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批准号:10636882
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依托单位:
Automated Molecular Identity Disambiguator (AutoMID)
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批准号:10357906
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项目类别:
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资助金额:$28.0万
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财政年份:2020
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负责人:BARRY A BUNIN
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依托单位:
Automated Molecular Identity Disambiguator (AutoMID)
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批准号:10569639
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资助金额:$28.0万
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财政年份:2020
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负责人:BARRY A BUNIN
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依托单位:
Intelligent Chemical Structure Browser for Drug Discovery and Optimization
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批准号:10241834
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项目类别:
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资助金额:$72.73万
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财政年份:2019
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负责人:BARRY A BUNIN
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依托单位:
A Robust, Secure Framework to Effortlessly Bind Distributed Databases and Analysis Tools into Tightly Integrated Translational Drug Discovery Computational Platforms
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批准号:10484172
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资助金额:$85.49万
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Digital representation of chemical mixtures to aid drug discovery and formulation
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批准号:9902210
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资助金额:$74.87万
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财政年份:2019
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负责人:BARRY A BUNIN
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依托单位:
A Robust, Secure Framework to Effortlessly Bind Distributed Databases and Analysis Tools into Tightly Integrated Translational Drug Discovery Computational Platforms
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批准号:10685358
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项目类别:
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资助金额:$85.49万
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财政年份:2019
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负责人:BARRY A BUNIN
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依托单位:
Intelligent Chemical Structure Browser for Drug Discovery and Optimization
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批准号:10386918
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资助金额:$72.73万
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财政年份:2019
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负责人:BARRY A BUNIN
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依托单位:
Novel deep learning strategy to better predict pharmacological properties of candidate drugs and focus discovery efforts
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批准号:10133177
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项目类别:
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资助金额:$74.99万
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财政年份:2018
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负责人:BARRY A BUNIN
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依托单位:
Novel deep learning strategy to better predict pharmacological properties of candidate drugs and focus discovery efforts
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批准号:10004481
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项目类别:
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资助金额:$74.99万
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财政年份:2018
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负责人:BARRY A BUNIN
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依托单位:
Unifying Templates, Ontologies and Tools to Achieve Effective Annotation of Bioassay Protocols
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批准号:9398728
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项目类别:
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资助金额:$54.64万
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财政年份:2017
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负责人:BARRY A BUNIN
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依托单位:
Unifying Templates, Ontologies and Tools to Achieve Effective Annotation of Bioassay Protocols
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批准号:9979969
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项目类别:
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资助金额:$51.14万
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财政年份:2017
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负责人:BARRY A BUNIN
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依托单位:
Simplifying encoding of bioassays to accelerate translational drug discovery
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批准号:8901698
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项目类别:
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资助金额:$75.14万
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财政年份:2013
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负责人:BARRY A BUNIN
-
依托单位:
Simplifying encoding of bioassays to accelerate translational drug discovery
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批准号:8591013
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项目类别:
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资助金额:$15.0万
-
财政年份:2013
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负责人:BARRY A BUNIN
-
依托单位:
Biocomputation across distributed private datasets to enhance drug discovery
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批准号:9345057
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项目类别:
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资助金额:$75.05万
-
财政年份:2013
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负责人:BARRY A BUNIN
-
依托单位:
Biocomputation across distributed private datasets to enhance drug discovery
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批准号:8198305
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项目类别:
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资助金额:$15.0万
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财政年份:2011
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负责人:BARRY A BUNIN
-
依托单位:
海外基金