I-Corps: Mass spectrometry signal processing
I-Corps:质谱信号处理
基本信息
- 批准号:1741270
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-06-15 至 2019-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project entails increasing the ability of commercial users of mass spectrometry to bring better products to market through the use of technology that better molecular identification and quantification. Commercial users of mass spectrometry include pharmaceutical companies, biotechnology firms, and other companies that have a direct impact on public health and wellbeing and are currently limited in social impact and revenue, in part, due to the inability to accurately identify and quantify molecules in mass spectrometry samples. Specific applications for the technology includes research and development on a variety of products, including diagnostic tests, novel drugs, and personalized medicine.This I-Corps project will investigate the commercial delivery of mass spectrometry data processing services. The underlying technology advances current capabilities by combining advanced statistical methods, additional information present in mass spectrometry signals but not used by current approaches, and novel methods for interpretation to identify more molecules than current mass spectrometry approaches with more quantitative accuracy than current approaches. The research is particularly capable of detecting low abundance molecules, which are exceptionally difficult to detect with current methods, and are more likely to have biological significance than high abundance molecules. Corporate mass spectrometry users can use accurate identifications and quantifications of low abundance molecules to shorten time-to-market, reduce development costs, and increase the production throughput and significance of innovations across a broad spectrum of pharmaceutical and biotechnology products.
这个I-Corps项目的更广泛的影响/商业潜力需要提高质谱商业用户的能力,通过使用更好的分子鉴定和定量技术,将更好的产品推向市场。质谱法的商业用户包括制药公司、生物技术公司和其他对公众健康和福祉有直接影响的公司,这些公司目前的社会影响和收入有限,部分原因是无法准确识别和量化质谱样品中的分子。 该技术的具体应用包括各种产品的研究和开发,包括诊断测试,新药和个性化医疗。该I-Corps项目将研究质谱数据处理服务的商业交付。基础技术通过结合先进的统计方法、质谱信号中存在但未被当前方法使用的附加信息以及用于解释的新方法来提高当前能力,以比当前质谱方法识别更多的分子,并且比当前方法具有更高的定量准确性。该研究特别能够检测低丰度分子,这些分子用目前的方法非常难以检测,并且比高丰度分子更有可能具有生物学意义。企业质谱用户可以使用低丰度分子的准确识别和定量来缩短上市时间,降低开发成本,并提高生产吞吐量和广泛的制药和生物技术产品创新的重要性。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Conversations with 100 Scientists in the Field Reveal a Bifurcated Perception of the State of Mass Spectrometry Software
- DOI:10.1021/acs.jproteome.8b00015
- 发表时间:2018-04-01
- 期刊:
- 影响因子:4.4
- 作者:Smith, Rob
- 通讯作者:Smith, Rob
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Rob Smith其他文献
Confronting the Procedural Fix: How Community Coalitions for Economic Justice Utilize City Planning Expertise to Support Community Benefits Campaigns
面对程序修复:经济正义社区联盟如何利用城市规划专业知识支持社区福利活动
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Rob Smith - 通讯作者:
Rob Smith
An Autism Spectrum Disorders Forum: A Model for the Effective Use of Multidisciplinary Assessment and Intervention Planning with Limited Clinical Resources
自闭症谱系障碍论坛:在有限的临床资源下有效利用多学科评估和干预计划的模型
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
B. Wright;Chris Williams;Rob Smith;Sally M. Smith;S. Beeson;Catherine Porter;P. Taylor;M. Sykes;B. Nicholas;Anne McKelvey;L. Bridges;Danielle Varley - 通讯作者:
Danielle Varley
Grecian Urns and Yellow Cards-Quality and the internalisation of the quasi- market in the FE sector
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Rob Smith - 通讯作者:
Rob Smith
Novel application of the matched case–control design to compare food supply chains during an Escherichia coli O157 outbreak, United Kingdom, 2016
匹配病例对照设计的新颖应用,用于比较大肠杆菌 O157 爆发期间的食品供应链,英国,2016 年
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
T. Inns;P. Cleary;N. Bundle;S. Foulkes;Ashley Sharp;L. Utsi;Chris McBrien;R. Teagle;A. Waldram;Chris J Williams;Cathy McCann;Rob Smith;S. Saleh;N. McCarthy;R. Vivancos;J. Hawker;V. Decraene - 通讯作者:
V. Decraene
Building A Cyber Supply Chain Assurance Reference Model A collaborative research project between SAIC and the
构建网络供应链保障参考模型 国家工商总局与国家工商总局合作研究项目
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Rob Smith - 通讯作者:
Rob Smith
Rob Smith的其他文献
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{{ truncateString('Rob Smith', 18)}}的其他基金
CAREER: Improved Mass Spectrometry Identification and Quantification Through Probabilistic Data Segmentation
职业:通过概率数据分割改进质谱鉴定和定量
- 批准号:
1552240 - 财政年份:2016
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
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Exposing Verifiable Consequences of the Emergence of Mass
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