grant
Accelerating Discovery by Merging Kinetics with Data Science Methods in Catalytic Organic Reactions
Organization SCRIPPS RESEARCH INSTITUTE, THELocation LA JOLLA, UNITED STATESPosted 1 Aug 2025Deadline 31 Jul 2030
NIHUS FederalResearch GrantFY2025AI systemAccelerationAddressArtificial IntelligenceBehaviorBiologyCatalysisChemicalsChemistryComplexComputer ReasoningCoupledDataData ScienceDescriptorDevelopmentElectronicsExhibitsFutureGoalsImageIn SituIndustrializationInvestigationKineticsLaboratoriesMachine IntelligenceMetabolicMethodologyMethodsModelingMolecularMonitorOrganic ChemistryOrganic SynthesisPharmaceutical AgentPharmaceuticalsPharmacologic SubstancePharmacological SubstancePositionPositioning AttributeProcessReactionResearchScienceSystemWorkcatalystcomputer based predictiondesigndesigningdevelopmentaldrug discoveryelectronicelectronic deviceexperienceimaginginnovateinnovationinnovativeinsightkinetic modelmachine learning based methodmachine learning based modelmachine learning methodmachine learning methodologiesmachine learning modelnetwork modelsnovelpharmaceuticalpredictive modelingtool
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Project Summary/Abstract
Over the past three decades, the Blackmond laboratory has pioneered research in kinetic-assisted
mechanistic analysis of organic catalytic reactions. The data-rich methodology of Reaction Progress
Kinetic Analysis (RPKA), employing in-situ reaction monitoring and kinetic modeling of temporal reaction
profiles, has proven to…
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