grant
Methods for quantifying selection and predicting evolutionary dynamics
Organization UNIVERSITY OF PITTSBURGH AT PITTSBURGHLocation PITTSBURGH, UNITED STATESPosted 1 Mar 2026Deadline 31 Dec 2030
NIHUS FederalResearch GrantFY20262019 novel corona virus2019 novel coronavirus2019-nCoVAffectBiologicalBiologyCOVID crisisCOVID epidemicCOVID pandemicCOVID-19 crisisCOVID-19 epidemicCOVID-19 eraCOVID-19 global health crisisCOVID-19 global pandemicCOVID-19 health crisisCOVID-19 pandemicCOVID-19 periodCOVID-19 public health crisisCOVID-19 virusCOVID-19 yearsCOVID19 virusCancersCoV-2CoV2ComplexComputing MethodologiesDNADNA mutationDataData SourcesDeoxyribonucleic AcidDevelopmentDrug resistanceEpistasisEpistatic DeviationEvolutionFoundationsGene variantGenesGeneticGenetic ChangeGenetic EpistasisGenetic defectGenetic mutationGenetics-MutagenesisGenotypeGrippeHIV-1HIV-IHIV1Human Immunodeficiency Virus Type 1Human Immunodeficiency Virus-1Human immunodeficiency virus 1ImmuneImmunesImmunityIndividualInfluenzaInteraction DeviationLearningLinkage DisequilibriumMachine LearningMalignant NeoplasmsMalignant TumorMapsMeasuresMedicineMethodsModelingMutagenesisMutagenesis Molecular BiologyMutationNatural SelectionsPhenotypePhysicsPlayPopulation GeneticsProcessProtein EngineeringPublic HealthQuantitative GeneticsResearchResistance developmentResistant developmentRoleSARS corona virus 2SARS-CO-V2SARS-COVID-2SARS-CoV-2SARS-CoV-2 epidemicSARS-CoV-2 global health crisisSARS-CoV-2 global pandemicSARS-CoV-2 pandemicSARS-CoV2SARS-associated corona virus 2SARS-associated coronavirus 2SARS-coronavirus-2SARS-coronavirus-2 epidemicSARS-coronavirus-2 pandemicSARS-related corona virus 2SARS-related coronavirus 2SARSCoV2SamplingSevere Acute Respiratory Coronavirus 2Severe Acute Respiratory Distress Syndrome CoV 2Severe Acute Respiratory Distress Syndrome Corona Virus 2Severe Acute Respiratory Distress Syndrome Coronavirus 2Severe Acute Respiratory Syndrome CoV 2Severe Acute Respiratory Syndrome CoV 2 epidemicSevere Acute Respiratory Syndrome CoV 2 pandemicSevere Acute Respiratory Syndrome-associated coronavirus 2Severe Acute Respiratory Syndrome-related coronavirus 2Severe acute respiratory syndrome associated corona virus 2Severe acute respiratory syndrome coronavirus 2Severe acute respiratory syndrome coronavirus 2 epidemicSevere acute respiratory syndrome coronavirus 2 pandemicSevere acute respiratory syndrome related corona virus 2ShapesStatistical Data AnalysesStatistical Data AnalysisStatistical Data InterpretationStatistical MethodsTimeVariantVariationViralWuhan coronavirusallelic variantbiologicclinical relevanceclinically relevantcomputational methodologycomputational methodscomputer based methodcomputer based predictioncomputer methodscomputing methodcoronavirus disease 2019 crisiscoronavirus disease 2019 epidemiccoronavirus disease 2019 global health crisiscoronavirus disease 2019 global pandemiccoronavirus disease 2019 health crisiscoronavirus disease 2019 pandemiccoronavirus disease 2019 public health crisiscoronavirus disease 2019 viruscoronavirus disease crisiscoronavirus disease epidemiccoronavirus disease pandemiccoronavirus disease-19 global pandemiccoronavirus disease-19 pandemiccoronavirus disease-19 virusdeveloping resistancedevelopmentaldrug resistantepistatic interactionepistatic relationshipexperimentexperimental researchexperimental studyexperimentsgene x gene interactiongenetic epistasesgenetic protein engineeringgenetic variantgenome mutationgenomic varianthCoV19human diseaseimprovedinsightmachine based learningmalignancymath methodologymath methodsmathematical approachmathematical methodologymathematical methodsmathematics approachmathematics methodologymathematics methodsnCoV2neoplasm/cancerpathogenpathogenic viruspredictive modelingpressureprotein designresistance to Drugresistant to Drugrespiratory virussevere acute respiratory syndrome coronavirus 2 global health crisissevere acute respiratory syndrome coronavirus 2 global pandemicsocial rolestatistic methodsstatistical analysistooltraitviral pathogenviral transmissionvirus pathogenvirus transmission
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PROJECT SUMMARY
Natural selection is central to many challenges in biology and medicine, from the emergence of drug resistance
in pathogens to cancer evolution. Understanding selection can also aid in protein engineering and help identify
clinically relevant mutations in human disease genes. Temporal genetic data — sequences and phenotypes
sampled…
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