课题基金 / 基金详情

Cross-scale prediction of Antimicrobial Resistance: from molecules to populations.

Cross-scale prediction of Antimicrobial Resistance: from molecules to populations.
抗生素耐药性的跨尺度预测:从分子到群体。
批准号:
EP/M027503/1
负责人:
Matthew Keeling
金额:
$64.32万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

项目成果

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中文摘要
翻译
抗生素耐药性(AMR)是对人类健康的主要威胁,它大大降低了几十年来一直是医疗的重要组成部分的药物的有效性。传统上,AMR的研究一直由医学和生命科学研究人员领导。然而,我们认为,要有效地阻止AMR在人口中的上升,需要数学,工程,物理,化学,医学和生命科学的综合资源,在高度跨学科的企业。此外,我们认为EPSRC的定量和预测技能是在AMR研究中创造一个飞跃性变化的关键:了解AMR的机制,预测潜在的新抗生素靶点以及遏制和控制AMR传播的方法。我们已经确定了沃里克的五个关键研究领域,我们已经拥有跨学科的优势,这将形成我们申请的关键主题:1)细胞壁组装。细胞壁的组装是抗菌药物作用的主要目标之一,除了强大的行业合作外,还汇集了化学和生命科学领域的关键研究人员。2)细菌细胞分裂与细胞壁组装蛋白密切相关的是一系列辅助蛋白,其提供细菌细胞分裂所必需的时间相互作用、力产生和调节能力以及PBPs的底物相互作用。3)抗菌剂发现。识别潜在的新型抗菌作用是对抗AMR增加的关键因素。沃里克参与了一系列异常多样的新型抗菌系统的开发,专注于潜在靶点的发现、开发和机制。4)细菌基因组学。测序技术,特别是高通量测序,已经对医学微生物学产生了相当大的影响。沃里克的研究人员很好地将他们的经验转化为对AMR在医疗环境中传播的理解。5)公共卫生流行病学。对公共卫生的理解对于更广泛地理解新的科学发现如何转化为应用的健康益处至关重要。数学、生命科学和医学在这方面都很强。反过来,这些学科领域得到了沃里克在数学建模(人口和系统生物学)、成像技术和诊断学方面公认的专业知识的支持。该提案有三个主要机制,通过这些机制,这些学科领域之间的差距将被弥合,并启动富有成效的跨学科合作。利用由高级研究的沃里克研究所开发的非常成功和具有成本效益的奖学金模式,我们将招募初级博士后研究人员跨部门的职位。2)跨学科会议。这种会议将采取各种形式,但将形成沃里克学者,工业和公共卫生研究人员,以及来自其他机构的学者之间的自然界面。我们打算举办假期学校,解决问题的研讨会和学习小组,以及更大的研究研讨会。潜在的早期会议可以集中在“跨细胞膜通道”,“细菌细胞分裂”和“医疗机构中的AMR”。虽然我们相信沃里克是独一无二的,在广泛的技能,它支持,显然有许多专业领域,我们根本不具备必要的专业知识。为了弥补这一技能差距,我们将邀请一些资深学者参加短期(3-6个月)访问奖学金。这将对所有沃里克研究人员开放,并将用于提高沃里克在AMR领域开展世界一流、创新和令人兴奋的研究的能力。
英文摘要
Antimicrobial Resistance (AMR) is a major threat to human health, dramatically reducing the effectiveness of drugs that have been a substantial component of medical treatment for decades. Traditionally the study of AMR has been led by Medical and Life Science researchers. However, we believe that to effectively halt the rise of AMR in the population requires the combined resources of Mathematical, Engineering, Physical, Chemical, Medical and Life Sciences, in highly interdisciplinary ventures. Moreover, we feel that the quantitative and predictive skills of EPSRC remit sciences is key to creating a step-change in the study of AMR in terms of: understanding mechanisms of AMR, prediction of potential novel antibiotic targets and methods to contain and control AMR spread.We have identified five key areas of research in Warwick in which we already have interdisciplinary strengths and which will form key themes of our application:1) Cell Wall Assembly. The assembly of the cell wall is one of the major targets for antibacterial drug action, and brings together key researchers in Chemistry and Life Sciences in addition to strong industry collaboration. 2) Bacterial Cell Division. Closely linked to the cell wall assembly proteins are the range of accessory proteins providing temporal interactions, force generation and regulatory capacity as well as substrate interactions for the PBPs that are necessary for bacterial cell division. 3) Antimicrobial Discovery. Identification of potential novel antimicrobial actions is a key element in combating the increase in AMR. Warwick is involved in the development of an unusually diverse range of novel antimicrobial systems, focusing on discovery, development and mechanism of potential targets.4) Bacterial Genomics. Sequencing technologies, particularly high-throughput sequencing, have already made a considerable impact on medical microbiology. Warwick researchers are well placed to translate their experience into the understanding of AMR spread in health-care settings.5) Public Health Epidemiology. An understanding of public-health is central to a wider understanding of how novel scientific discovery can be translated into applied health benefits. Mathematics, Life-Sciences and Medicine are all individually strong in this area. In turn these subject areas are supported by Warwick's recognised expertise in mathematical modelling (both population and systems biology), imaging techniques and diagnostics.This proposal has three main mechanisms through which the gaps between these subject areas will be bridged and productive interdisciplinary collaborations initiated.1) Short term discipline-hopping fellowships. Utilising the highly successful and cost-effective fellowship model developed by the Warwick Institute of Advanced Study, we will recruit junior post-doctoral researchers to cross-departmental positions. 2) Focused cross-disciplinary meetings. Such meeting will take a variety of formats, but will form the natural interface between Warwick academics, industry and public-health researchers, and academics from other institutions. We intend to host vacation schools, problem-solving workshops and study-groups, together with larger research symposia. Potential early meetings could focus on "Passage Across the Cell Membrane", "Bacterial Cell Division" and "AMR in healthcare settings".3) Visiting Fellowships. Although we believe Warwick is unique in the breadth of skills it supports, there are obviously many specialist areas where we simply do not possess the necessary expertise. To bridge this skills gap we will invite a select number of senior academics to short-term (3-6 month) visiting fellowships.4) Pump Priming. This will be open to all Warwick researchers and will be used to increase Warwick's capacity and capability to undertake world-class, innovating and exciting research in AMR.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1021/acscatal.1c02113
发表时间: 2021-08-16
期刊: ACS CATALYSIS
影响因子: 12.9
作者: [Fage, Christopher D., Kosol, Simone, Lewandowski, Jozef R.]
通讯作者: Lewandowski, Jozef R.
DOI: 10.1038/s41467-017-02118-7
发表时间: 2017-12-05
期刊: Nature communications
影响因子: 16.6
作者: [Batson S, de Chiara C, Majce V, Lloyd AJ, Gobec S, Rea D, Fülöp V, Thoroughgood CW, Simmons KJ, Dowson CG, Fishwick CWG, de Carvalho LPS, Roper DI]
通讯作者: Roper DI
DOI: 10.1016/j.bbapap.2017.08.014
发表时间: 2017-11
期刊: Biochimica et biophysica acta. Proteins and proteomics
影响因子: --
作者: [Freedman RB, Desmond JL, Byrne LJ, Heal JW, Howard MJ, Sanghera N, Walker KL, Wallis AK, Wells SA, Williamson RA, Römer RA]
通讯作者: Römer RA
COVID-19 Modelling Consortium: quantitative epidemiological predictions in response to an evolving pandemic
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    MR/V038613/1
  • 项目类别:
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  • 财政年份:
    2020
  • 负责人:
    Matthew Keeling
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  • 负责人:
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国内基金
海外基金
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基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
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    王骏
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