Functional effects of all possible point mutations in oncogenes
Functional effects of all possible point mutations in oncogenes
批准号:
8775634
负责人:
DANIEL N BOLON
金额:
$18.22万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-12-01 至 2015-11-30
关键词:
AccountingAddressAmino AcidsAntineoplastic AgentsBRAF geneBindingBiological ModelsCell Culture TechniquesCellsClinicalDasatinibDevelopmentDrug DesignDrug resistanceEffectivenessEscape MutantEvolutionFollow-Up StudiesFosteringFoundationsFutureGenesGrowthHealthHumanImatinibIndividualInterleukin-3KnowledgeLibrariesLocationMalignant NeoplasmsMammalian CellMapsMediatingModelingMolecular ChaperonesMonitorMutagenesisMutationNucleotidesOncogenesPatientsPharmaceutical PreparationsPhenotypePhosphotransferasesPoint MutationPolymeraseProbabilityPublishingRefractoryRelative (related person)ResistanceRouteSamplingStagingTestingTherapeuticYeastsanti-cancer therapeuticbasebcr-abl Fusion Proteinscancer cellcancer therapycell growthclinically relevantdeep sequencingdesignfitnessimprovedinhibitor/antagonistkillingsmulticatalytic endopeptidase complexmutantnew technologynovel strategiespressurepreventresearch studyresistance mutationtargeted treatment
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The effectiveness of targeted anti-cancer therapeutics is frequently reduced by the acquisition of drug- resistance. A comprehensive understanding of the mutations compatible with oncogene function should define the mutations available to direct drug-resistance and provide a guide for the rational development of improved inhibitors with reduced probability of resistance. Traditional approaches to analyze the functional
effects of mutations rely on randomly generated mutants and typically can only identify a handful of mutations with a strongly selected phenotype. We propose an approach to systematically analyze the functional effects of all possible single-nucleotide substitutions for entire oncogenes both in the presence and absence of inhibitors. Our approach will systematically define the positive or negative impact of each mutation on cell growth. Only mutations that are compatible with oncogene function should be available to drug resistance evolution. Therefore, identifying the set of functional mutations provides a powerful structural guide that can be incorporated in the early stages of future drug design efforts.
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