课题基金 / 基金详情

EAGER: Rapid and Sensitive Drug Testing for COVID-19

EAGER: Rapid and Sensitive Drug Testing for COVID-19
EAGER:快速、灵敏的 COVID-19 药物检测
批准号:
2030750
负责人:
John Yin
金额:
$20.0万
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:
2020-06-01 至 2023-05-31

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中文摘要
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英文摘要
With vaccines against the COVID-19 pandemic still months-to-years away, current treatments for infected patients focus on anti-viral drugs. However, like many viruses that cause serious morbidity and mortality, coronaviruses can mutate and develop drug resistance. Effective treatment may require the availability of multiple effective drugs. Thousands of drug candidates are available, but a current bottleneck is drug testing, which entails virus growth in cell cultures, a labor intensive, low sensitivity, and time-consuming process that can take up to a week to perform. ThIs EAGER project exploits microscopic fluid flows in cell and virus cultures to enhance sensitivity and speed, potentially reducing test times to one day. The project aims to identify best conditions for testing of drugs against the COVID-19 virus, which will expand opportunities to effectively treat infected patients.The gold standard for testing anti-viral drugs is the plaque assay, which gives direct measures of drug effect on the production and spread of infectious virus particles in the cell culture. However, the plaque assay is labor-intensive, limited in sensitivity for drug testing, and it can take a week to perform. As an alternative, a team with expertise in virology and fluid dynamics will advance a faster, more sensitive assay. The approach exploits flow-enhanced infection spread and automated quantitative imaging, which they will optimize for coronavirus drug testing. The technology exploits microscale flows that sweep across infected cells, enhancing the spread of infection; in cell-culture wells, radial flows spontaneously arise from enhanced evaporative cooling at the fluid surface near the center of the each well, driving natural convection. The project may enable a 10-to100-fold higher sensitivity in one-tenth the time for testing drug candidates against COVID-19. Such accelerated testing could help efficiently identify drugs that significantly reduce morbidity and mortality from the ongoing pandemic and its possible re-emergence.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.
期刊论文(2)
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会议论文
DOI: 10.1093/intbio/zyab001
发表时间: 2021-02-22
期刊: INTEGRATIVE BIOLOGY
影响因子: 2.5
作者: [Jin,Tianyi, Yin,John]
通讯作者: Yin,John
Collaborative Research: MODULUS: Stochastic reaction-diffusion equations on metric graphs and spatially-resolved dynamics of virus infection spread
  • 批准号:
    2151959
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.56万
  • 财政年份:
    2022
  • 负责人:
    John Yin
  • 依托单位:
Collaborative Research: National Symposium on PRedicting Emergence of Virulent Entities by Novel Technologies (PREVENT)
  • 批准号:
    2115164
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.56万
  • 财政年份:
    2021
  • 负责人:
    John Yin
  • 依托单位:
RAPID: Ecological Dynamics of Human Coronavirus
  • 批准号:
    2029281
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2020
  • 负责人:
    John Yin
  • 依托单位:
ITR: Self-Replicative Information Processing
  • 批准号:
    0313214
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.0万
  • 财政年份:
    2003
  • 负责人:
    John Yin
  • 依托单位:
国内基金
海外基金
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 项目类别:
    面上项目
  • 资助金额:
    45.0万元
  • 批准年份:
    2007
  • 负责人:
    滕冰
  • 依托单位: