Identifying Genetic Contributions to Adverse Drug Reactions
Identifying Genetic Contributions to Adverse Drug Reactions
批准号:
10730434
负责人:
SCOTT M REED
金额:
$46.79万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31
关键词:
6-MercaptopurineAdoptedAffectAffinityArylesteraseBackBindingBinding SitesChemical StructureClinicalClinical DataClinical TrialsCommunitiesDarknessDataData SetDatabasesDockingDoseDrug Binding SiteDrug DesignDrug InteractionsDrug Side EffectsDrug toxicityEnzymesEventFrequenciesGeneticGenetic PolymorphismGenetic VariationGenomeGoalsGulf War veteranHomology ModelingImmunosuppressive AgentsIn VitroIndividualLeadLiteratureMachine LearningMarketingMethodsModelingMolecularMutateMutationPatternPharmaceutical PreparationsPharmacogeneticsPharmacogenomicsPharmacologic SubstancePhysiologicalPopulationProcessProteinsResearchResearch PersonnelScreening procedureSingle Nucleotide PolymorphismSortingSourceSpeedStructureSystemTrainingVariantadverse drug reactionbioinformatics toolchemotherapeutic agentdesigndrug repurposingdrug sensitivitydrug structuredrug withdrawalgenetic variantimprovedin siliconerve agentnovelnovel therapeuticsprotein structurerapid testingresponseside effectsmall moleculethiopurinethiopurine methyltransferasethree dimensional structuretoolweb appweb-based tool
中文摘要
确定基因对药物不良反应的影响
英文摘要
Identifying Genetic Contributions to Adverse Drug Reactions
Project Summary
Bioinformatics tools will be created that facilitate searching the genome for variants that can elucidate previously
unexplained adverse drug reactions (ADRs). Known protein targets for pharmaceuticals represent only a few
percent of the genome and this is a missed opportunity in drug design and in finding genetic explanations for
ADRs. We are seeking to create new bioinformatics tools for identifying the off-target binding sites of
pharmaceuticals and their metabolites. Our goal is to build tools that help identify the underlying genetic causes
of rare and unexplained ADRs so these effects can be avoided. Our initial focus will be on very large existing
data sets on genetic variation and on ADRs that are currently not linked to identify possible new connections
between the datasets. The first specific aim is to create a docking server using the best available protein
structures so that variants of any protein can be used in docking studies and be examined as a source of possible
side effects expanding into the dark genome. The second specific aim is to create online tools that identify
specific ADRs and produce the three-dimensional structures of drugs and drug metabolites prepared for docking
studies and create fast screening tools. Together these tools can be used by researchers to prioritize drug protein
interactions for further in silico or in vitro studies. These tools will facilitate rapid testing of hypotheses about
molecular causes of harmful drug side effects in both available drugs and drugs being designed today, a critical
step toward eliminating ADRs and designing more effective drugs.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Interactions of C-Reactive Protein with Highly Curved Lipid Membranes
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批准号:8433752
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项目类别:
-
资助金额:$35.59万
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财政年份:2009
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负责人:SCOTT M REED
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依托单位:
海外基金