CCP-BioSim: Biomolecular simulation at the life sciences interface
CCP-BioSim:生命科学界面的生物分子模拟
基本信息
- 批准号:EP/J010588/1
- 负责人:
- 金额:$ 36.64万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2011
- 资助国家:英国
- 起止时间:2011 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Biomolecular simulation is a vibrant and growing area, making increasingly significant contributions to structural and systems biology. Physics-based simulations complement experiments in building a molecular level understanding of biology: they can test hypotheses and interpret and analyse experimental data in terms of interactions at the atomic level. A wide variety of simulation techniques have been developed, applicable to a range of different problems in biomolecular science. Simulations have already shown their worth in helping to analyse how enzymes catalyse biochemical reactions, and how proteins adopt their functional structures e.g. within cell membranes. They contribute to the design of drugs and catalysts, and in understanding the molecular basis of disease. Simulations have played a key role in developing the conceptual framework now at the heart of biomolecular science, that is, the understanding that the way that biological molecules move and flex - their dynamics - is central to their function. Developing methods from chemical physics and computational science will open exciting new opportunities in biomolecular science, including in drug design and development, biotechnology and biocatalysis. Much biomolecular simulation demands HPC resources: e.g. large-scale simulations of biological machines such as the ribosome, proton pumps and motors, membrane receptor complexes and even whole viruses. A particular challenge is the integration of simulations across length and timescales: different types of simulation method are required for different types of problems).We propose to establish a new collaborative computational project in biomolecular simulation at the life sciences interface, CCP-BioSim. CCP-BioSim will be an inclusive wide-ranging project, bringing together chemists, physicists and chemical engineers as well as researchers from all branches of 'molecule-oriented' biochemistry and biology. Our aim will be to involve experimentalists and computational specialists, sharing the belief that the best science can be done when theory and experiment are closely integrated. We will invite all current CCPB members (more than 300) to join CCP-BioSim, and also any other researchers who are interested. Members will be informed of activities via the CCP-BioSim mailing list and the CCP-BioSim website. CCP-BioSim will aim to identify methodological and computational challenges in the field, and to foster develoments to meet these scientific challenges. Involvement of early career academics will also be an important goal: the training workshops we will run will help in establishing research groups. CCP-BioSim will also provide a networking and collaboration framework. The strategy will be to concentrate on activities that promote and facilitate high-impact biomolecular research. We will foster close and innovative interactions between computational and experimental scientists, encouraging integrated multidisciplinary studies. CCP-BioSim will develop and provide training and tools to lower the barrier to non-experts becoming proficient and productive users of biomolecular simulation techniques. We will also work to develop and apply advanced methods. Engagement with experimentalists is crucial to ensure that the methodologies delivered are relevant to biological problems. This is a rapidly developing field: the best science comes from new simulation techniques and state-of-the-art (especially high performance computing (HPC)) hardware and software, requiring methodological development and significant and varied software development effort, in the context of UK and international projects.
生物分子模拟是一个充满活力和不断发展的领域,对结构和系统生物学做出越来越重要的贡献。基于物理的模拟补充了建立生物学分子水平理解的实验:它们可以测试假设并根据原子水平的相互作用解释和分析实验数据。各种各样的模拟技术已经发展起来,适用于生物分子科学中的一系列不同问题。模拟已经显示出其价值,有助于分析酶如何催化生化反应,以及蛋白质如何采用其功能结构,例如在细胞膜内。它们有助于药物和催化剂的设计,并有助于理解疾病的分子基础。模拟在发展生物分子科学的核心概念框架方面发挥了关键作用,即理解生物分子移动和弯曲的方式-它们的动力学-是它们功能的核心。从化学物理和计算科学发展方法将打开令人兴奋的生物分子科学的新机会,包括在药物设计和开发,生物技术和生物催化。许多生物分子模拟需要HPC资源:例如,大规模模拟生物机器,如核糖体,质子泵和马达,膜受体复合物甚至整个病毒。一个特别的挑战是跨长度和时间尺度的模拟集成:不同类型的问题需要不同类型的模拟方法)。我们建议在生命科学接口上建立一个新的生物分子模拟合作计算项目,CCP BioSim。CCP-BioSim将是一个包容性广泛的项目,汇集了化学家,物理学家和化学工程师以及来自“分子导向”生物化学和生物学所有分支的研究人员。我们的目标是让实验学家和计算专家参与进来,分享这样一个信念:当理论和实验紧密结合时,可以完成最好的科学。我们将邀请所有CCPB成员(超过300人)加入CCP-BioSim,以及任何其他感兴趣的研究人员。将通过CCP-BioSim邮件列表和CCP-BioSim网站向成员通报活动。CCP-BioSim旨在确定该领域的方法和计算挑战,并促进开发人员应对这些科学挑战。早期职业学者的参与也将是一个重要目标:我们将举办的培训讲习班将有助于建立研究小组。CCP-BioSim还将提供一个网络和协作框架。该战略将集中于促进和便利高影响力生物分子研究的活动。我们将促进计算和实验科学家之间的密切和创新的互动,鼓励综合多学科研究。CCP-BioSim将开发并提供培训和工具,以降低非专家成为生物分子模拟技术熟练和高效用户的障碍。我们还将努力开发和应用先进的方法。与实验人员的接触对于确保所提供的方法与生物学问题相关至关重要。这是一个快速发展的领域:最好的科学来自新的模拟技术和最先进的(特别是高性能计算(HPC))硬件和软件,需要方法的发展和显着的和不同的软件开发工作,在英国和国际项目的背景下。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Entropy of Simulated Liquids Using Multiscale Cell Correlation.
- DOI:10.3390/e21080750
- 发表时间:2019-07-31
- 期刊:
- 影响因子:0
- 作者:Ali HS;Higham J;Henchman RH
- 通讯作者:Henchman RH
Relative Affinities of Protein-Cholesterol Interactions from Equilibrium Molecular Dynamics Simulations.
- DOI:10.1021/acs.jctc.1c00547
- 发表时间:2021-10-12
- 期刊:
- 影响因子:5.5
- 作者:Ansell TB;Curran L;Horrell MR;Pipatpolkai T;Letham SC;Song W;Siebold C;Stansfeld PJ;Sansom MSP;Corey RA
- 通讯作者:Corey RA
New methods: general discussion.
新方法:一般性讨论。
- DOI:10.1039/c6fd90075e
- 发表时间:2016
- 期刊:
- 影响因子:3.4
- 作者:Angulo G
- 通讯作者:Angulo G
Biomolecular Simulations in the Time of COVID19, and After.
- DOI:10.1109/mcse.2020.3024155
- 发表时间:2020-11
- 期刊:
- 影响因子:2.1
- 作者:Amaro RE;Mulholland AJ
- 通讯作者:Mulholland AJ
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Adrian Mulholland其他文献
QM/MM Study on Cleavage Mechanism Catalyzed by Zika Virus NS2B/NS3 Serine Protease
- DOI:
10.1016/j.bpj.2018.11.3005 - 发表时间:
2019-02-15 - 期刊:
- 影响因子:
- 作者:
Bodee Nutho;Adrian Mulholland;Thanyada Rungrotmongkol - 通讯作者:
Thanyada Rungrotmongkol
Adrian Mulholland的其他文献
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{{ truncateString('Adrian Mulholland', 18)}}的其他基金
Predictive multiscale free energy simulations of hybrid transition metal catalysts
混合过渡金属催化剂的预测多尺度自由能模拟
- 批准号:
EP/W013738/1 - 财政年份:2022
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
BEORHN: Bacterial Enzymatic Oxidation of Reactive Hydroxylamine in Nitrification via Combined Structural Biology and Molecular Simulation
BEORHN:通过结合结构生物学和分子模拟进行硝化反应中活性羟胺的细菌酶氧化
- 批准号:
BB/V016768/1 - 财政年份:2022
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
Commercialisation of VR for biomolecular design
用于生物分子设计的 VR 商业化
- 批准号:
BB/T017066/1 - 财政年份:2020
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
CCP-BioSim: Biomolecular Simulation at the Life Sciences Interface
CCP-BioSim:生命科学界面的生物分子模拟
- 批准号:
EP/M022609/1 - 财政年份:2015
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
Predicting drug-target binding kinetics through multiscale simulations
通过多尺度模拟预测药物靶标结合动力学
- 批准号:
EP/M015378/1 - 财政年份:2015
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
BristolBridge: Bridging the Gaps between the Engineering and Physical Sciences and Antimicrobial Resistance
BristolBridge:弥合工程和物理科学与抗菌素耐药性之间的差距
- 批准号:
EP/M027546/1 - 财政年份:2015
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
Computational tools for enzyme engineering: bridging the gap between enzymologists and expert simulation
酶工程计算工具:弥合酶学家和专家模拟之间的差距
- 批准号:
BB/L018756/1 - 财政年份:2014
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
The UK High-End Computing Consortium for Biomolecular Simulation
英国生物分子模拟高端计算联盟
- 批准号:
EP/L000253/1 - 财政年份:2013
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
Inquire: Software for real-time analysis of binding
查询:实时分析结合的软件
- 批准号:
BB/K016601/1 - 财政年份:2013
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
Adaptive Multi-Resolution Massively-Multicore Hybrid Dynamics
自适应多分辨率大规模多核混合动力学
- 批准号:
EP/I030395/1 - 财政年份:2011
- 资助金额:
$ 36.64万 - 项目类别:
Research Grant
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