grant
Deep sequence-structure-function learning for modeling and characterization of biomolecules at scale
Organization VIRGINIA POLYTECHNIC INST AND ST UNIVLocation BLACKSBURG, UNITED STATESPosted 15 Sept 2020Deadline 28 Feb 2031
NIHUS FederalResearch GrantFY2026AddressBenchmarkingBest Practice AnalysisBiologicalBiological FunctionBiological ProcessBiologyBiophysicsClinicalCollaborationsCommunitiesComplementComplement ProteinsComplexComputer ModelsComputer Software ToolsComputerized ModelsComputing MethodologiesCoupledDataData SetData SystemsDevelopmentDiseaseDisorderDrug DesignEffectivenessEvaluationFeedbackGenerationsGoalsHealthHumanIT SystemsInformation SystemsInformation Technology SystemsKnowledgeLearningMedicalMethodsModelingModern ManMolecularNIGMSNational Institute of General Medical SciencesNucleic AcidsProductivityProteinsPublicationsResearchResearch ResourcesResearch SupportResourcesScientific PublicationShapesSoftware ToolsStructureStructure-Activity RelationshipTherapeuticValidationWorkbenchmarkbiologicbiophysical foundationbiophysical principlesbiophysical sciencesblindchemical structure functioncomplementationcomputational methodologycomputational methodscomputational modelingcomputational modelscomputational resourcescomputer based methodcomputer based modelscomputer methodscomputerized modelingcomputing methodcomputing resourcesdeep learningdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydesigndesigningdevelopmentaldrug discoveryexperimentexperimental researchexperimental studyexperimentsimprovedinnovateinnovationinnovativeinsightlearning activitylearning methodlearning strategieslearning strategylenslensesnovelnucleic acid structureopen sourceprogramsprotein structure predictionsoftware systemssoftware toolkitstructural biologystructure function relationshipvalidationsweb server
Description preview
PROJECT SUMMARY/ABSTRACT:
The broad goal of the proposed research is to develop, evaluate, and disseminate a new generation of
integrative deep sequence-structure-function learning methods and resources for modeling and
characterization of biomolecules at scale. These advanced computational models can give insights into how
biomolecules work, how…
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