RAPID: A multiscale approach to dissect SARS-CoV-2 attachment to host cells and detect viruses on surfaces
RAPID: A multiscale approach to dissect SARS-CoV-2 attachment to host cells and detect viruses on surfaces
批准号:
2029105
负责人:
Michael Vahey
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-05-15 至 2022-04-30
中文摘要
2019年新型冠状病毒被确定为武汉报告的肺炎病理的原因,迅速传播并成为全球大流行。该项目将采用实验方法开发用于从环境样本中检测SARSCoV-2的传感器,并通过应用计算机器学习方法开发病毒附着细胞的预测模型。这一项目的成果将有助于制定主动措施,在具有大流行潜力的病毒能够在人类之间广泛传播和传播之前识别它们。参与这项研究的研究生将获得蛋白质生物化学、荧光显微镜和计算模拟方面的经验,并获得利用这些技能解决重要社会问题的经验。NSF快速反应研究(Rapid)项目将支持一个旨在表征SARS-CoV-2刺突蛋白(S)介导的受体相互作用的项目。开发基于荧光的检测方法来表征SARSCoV-2在密度和迁移率可控的血管紧张素转换酶(ACE2)功能化表面上的附着,识别ACE2外结构域的肽模拟物,用于开发从环境样品中检测SARSCoV-2的传感器,并利用机器学习开发和验证从初级序列中检测冠状病毒附着的预测模型,这些都是该项目的具体目标。该RAPID奖由分子和细胞生物科学部分子生物物理学项目利用《冠状病毒援助、救济和经济安全(CARES)法案》的资金设立。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The 2019 novel coronavirus, identified as the cause for the pneumonia pathology reported in Wuhan, spread quickly and became a global pandemic. The project will employ experimental methods to develop sensors for the detection of SARSCoV-2 from environmental samples and develop predictive models for virus attachment to cells by applying computational machine learning methods. The outcome of this project will contribute to the development of proactive measures to identify viruses with pandemic potential before they are able to transmit and spread broadly among humans. The graduate students involved in this research will gain experience in protein biochemistry, fluorescence microscopy, and computational simulations and experience utilizing those skills to problems of societal importance.This NSF Rapid response Research (RAPID) project will support a project that is aimed to characterize receptor interactions mediated by the Spike protein (S) of SARS-CoV-2. Development of fluorescence-based assays to characterize SARSCoV-2 attachment to Angiotensin converting enzyme (ACE2)-functionalized surfaces with controlled density and mobility, identifying peptide mimics of the ACE2 ectodomain for the development of sensors to detect SARSCoV-2 from environmental samples, and develop and validate predictive models of CoV attachment from primary sequence using machine learning constitute the specific goals of this project.This RAPID award is made by the Molecular Biophysics Program in the Division of Molecular and Cellular Biosciences, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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CAREER: Assembly and Function of Viral Immune Complexes
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批准号:2238165
-
项目类别:Continuing Grant
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资助金额:$60.66万
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财政年份:2023
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负责人:Michael Vahey
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依托单位:
国内基金
海外基金
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