Directed evolution of N-terminal amino acid binding proteins for application to protein sequencing
Directed evolution of N-terminal amino acid binding proteins for application to protein sequencing
N端氨基酸结合蛋白的定向进化应用于蛋白质测序
批准号：
9910124
负责人：
KENNETH M KUHN
金额：
$73.69万
依托单位：
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
项目状态：
已结题
起止时间：
2017-09-01 至 2022-01-31
关键词：
AffinityAmino AcidsApplied ResearchAreaBacteriophagesBar CodesBasic ScienceBinding ProteinsBiological AssayBiological SciencesBiophysicsChargeChemistryClinical ResearchDNADevelopmentDirected Molecular EvolutionDiversity LibraryDrug TargetingEvolutionFoundationsFutureGenerationsGoalsLibrariesMass Spectrum AnalysisMeasuresMedical ResearchMethodsMolecularN-terminalPeptide Sequence DeterminationPeptidesPerformancePhasePopulation StudyProcessProductionPropertyProtein AnalysisProteinsProteomeProteomicsResolutionRunningSamplingSpecificitySystemTechnologyVariantbasebiological researchcostcost effectivedigitaldrug developmentexperimental studyhigh throughput analysisimprovedinstrumentnovelprotein aminoacid sequencescaffoldscale upsingle moleculethermostabilityusabilityuser-friendly
中文摘要
翻译
摘要
更容易获得和成本效益高的蛋白质组分析技术将
加速生物和医学研究。该提案的目标是制定一个
高度可扩展的数字化蛋白质分析技术。该方法具有广泛的适用性
并且极大地改善了电流的成本、灵敏度、可用性和吞吐量
接近。
英文摘要
ABSTRACT
More accessible and cost-effective technologies for analysis of the proteome would
accelerate biological and medical research. The goal of this proposal is to develop a
highly-scalable digital protein analysis technology. The approach is broadly applicable
and greatly improves upon cost, sensitivity, usability, and throughput of current
approaches.
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