grant
Accelerating discovery of narrow-spectrum antibiotics for Lyme disease
Organization TUFTS UNIVERSITY BOSTONLocation BOSTON, UNITED STATESPosted 19 Feb 2026Deadline 31 Jan 2031
NIHUS FederalResearch GrantFY2026AI language modelsAccelerationActive LearningAcuteAffectAntibiotic AgentsAntibiotic DrugsAntibioticsAntitubercular AgentsAntitubercular DrugsAreaB burgdorferiB. burgdorferiBacteriaBenchmarkingBest Practice AnalysisBindingBioavailabilityBiological AvailabilityBorrelia burgdorferiBorrelia burgdorferi sensu strictoBorreliella burgdorferiCampingCell BodyCellsChemical StructureChemicalsComplexConsumptionCooperative LearningDataData SetDevelopmentDiffusionDimensionsDiseaseDisorderDrug KineticsDrug ModelingsDrug ScreeningDrug TherapyDrugsE coliE. coliEquilibriumEscherichia coliExperiential LearningExpression SignatureFeedbackForestryFreedomGene Expression ProfileGene TranscriptionGeneralized GrowthGenetic TranscriptionGrowthHealthHigh Throughput AssayHumanIn VitroIn vivo analysisIncidenceJobsLeadLearningLibertyLibrariesLiteratureLyme BorreliosisLyme DiseaseLyme Disease SpirocheteLytotoxicityM tbM tuberculosisM. tbM. tuberculosisMachine LearningMacromolecular StructureMalariaMedicalMedicationMedicinal ChemistryMethodsMiscellaneous AntibioticModelingModern ManMolecular InteractionMolecular StructureMorphologyMycobacterium tuberculosisNew AgentsOccupationsOrder SpirochaetalesOrganismPaludismPb elementPersonsPharmaceutic ChemistryPharmaceutical ChemistryPharmaceutical PreparationsPharmacokineticsPharmacological TreatmentPharmacotherapyPhenotypePhysiologic AvailabilityPlasmodium InfectionsPrEPPreventative strategyPreventionPrevention strategyPreventive strategyProcessProfessional PositionsPropertyProphylactic treatmentProphylaxisProteomeRNA ExpressionRapid screeningResistanceResistance developmentResistant developmentRodS aureusS. aureusShapesSpeedSpirochaetalesSpirochetesStaph aureusStaphylococcus aureusTB drugsTechnologyTimeTissue GrowthToxic effectToxicitiesToxicity TestingToxicity TestsTranscriptionTransformer language modelTranslatingTuberculostatic AgentsValidationVisitWorkabsorptionanti-TBanti-TB drugsanti-tuberculosisanti-tuberculosis drugsantiTBantibiotic designartificial intelligence language modelsautoencoderautoencoding neural networkbacteria pathogenbacterial pathogenbalancebalance functionbenchmarkcomputer based predictioncostcytotoxicityde-noisingdenoisingdesigndesigningdeveloping resistancedevelopmentaldiffuseddiffusesdiffusingdiffusionsdisease preventiondisease riskdisorder preventiondisorder riskdrug actiondrug candidatedrug developmentdrug discoverydrug interventiondrug treatmentdrug/agenteffective therapyeffective treatmentexperimentexperimental researchexperimental studyexperimentsgene expression patterngene expression signaturegenerative modelsheavy metal Pbheavy metal leadhigh riskhigh throughput screeningin vivo evaluationin vivo testinginfectious disease treatmentinterestlarge language modellarge scale language modelliving systemlyme spirochetemachine based learningmachine learning based modelmachine learning based pipelinemachine learning modelmachine learning pipelinemassive scale language modelsmicrobiomemtbmulti-modalitymultimodalitymultiomicsmultiple omicsneural networknovelontogenypanomicspathogenpathogenic bacteriapharmaceutical interventionpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticspre-exposure prophylaxispredictive modelingresistantresponsescreeningscreeningssmall moleculetooltranscriptional profiletranscriptional signaturetranscriptomicstuberculosis drugsvalidationsvirtual
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PROJECT SUMMARY
The development of narrow-spectrum antibiotics against the Lyme disease-causing bacterium, Borrelia
burgdorferi has the potential to significantly alter current approaches to the treatment and prevention of Lyme
disease. Narrow-spectrum agents that affect only the target bacteria avoid issues of propagation of resistance
in…
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