Nanopores for Processing Proteins
Nanopores for Processing Proteins
批准号:
10645984
负责人:
Eric Ervin
金额:
$40.73万
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:
已结题
起止时间:
2023-09-20 至 2024-08-31
关键词:
AlgorithmsAmino Acid SequenceAmino AcidsBenchmarkingBindingBiologicalBiological MarkersBiological SciencesBiologyChargeClassificationCollaborationsDataDevelopmentDiagnosticDiseaseDisease remissionDrug TargetingElectronicsEnsureEvaluationFingerprintFutureGoalsGroupingHemolysinIndividualLabelLengthLibrariesMachine LearningMass Spectrum AnalysisMassachusettsMethodologyMethodsMolecular ChaperonesMuramidaseNucleic AcidsNucleic acid sequencingPeptide FragmentsPeptide HydrolasesPeptide Sequence DeterminationPeptidesPerformancePhasePost-Translational Protein ProcessingPreparationProcessProtein AnalysisProtein translocationProteinsProteomeProteomicsReaderResearchSignal TransductionSite-Directed MutagenesisSmall Business Innovation Research GrantStructureSystemTechnologyTherapeutic InterventionTimeVariantamino groupbiomarker discoverycostdetection limithigh throughput analysismutantnanomachinenanoporeneural networknovelprofessorprognosticprogramsprototypesensorsingle moleculetherapy developmenttool
中文摘要
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英文摘要
Project Summary
The ultimate goal in the field of proteomics is single-molecule, high-accuracy, de novo protein sequencing.
Unfortunately, current technologies used to characterize and identify proteins are costly, and lack the sensitivity,
dynamic range, throughput, scale, and accuracy needed to meet the ever-expanding needs within this field.
During this Phase I SBIR project, Electronic BioSciences, Inc. (EBS) aims to develop a nanopore reader, along
with the associate methodology, capable of direct, single-molecule protein sequencing. A sensor capable of
examining single proteins will not only provide detailed information regarding the individual protein themselves,
it will also enable proteome-wide profiling and protein characterization, biomarker(s) discovery, and the
associated assessments of disease state progression or remission. The prototype sensor developed here will
be a high-accuracy nanopore-based reader capable of label-free sequence characterization that provides high-
quality data without sequence-context convolution. This development will be the first of its kind, ideally suited to
assessing and sequencing any given protein, regardless of length and structure. Additionally, the sensitivity of
the proposed reader will enable the ability to detect and identify specific post translational modifications, which
is critical to understanding and assessing the extensive variation within the proteome.
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会议论文
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海外基金