The UK High-End Computing Consortium for Biomolecular Simulation
英国生物分子模拟高端计算联盟
基本信息
- 批准号:EP/L000253/1
- 负责人:
- 金额:$ 36.76万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2013
- 资助国家:英国
- 起止时间:2013 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Simulations using powerful computers can show how biological molecules 'work' in atomic detail. For example, molecular simulations can show drugs bind to their biological targets, how enzymes catalyse reactions, and how proteins fold into their functional forms. Biomolecular simulation is a vibrant and growing area, making increasingly significant contributions to biology. It is an area of growing international importance. Simulations of biological molecules 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. Biomolecular 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 development and biotechnology. Much biomolecular simulation demands high end computing (HEC) 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).Biomolecular Simulations are contributing increasingly to areas such as biotechnology, drug design, biocatalysis and biomedicine. The UK has a strong community in this field, recognized by the recent (2011) establishment by EPSRC of CCP-BioSim (ccpbiosim.ac.uk), the UK Collaborative Computational Project for Biomolecular Simulation at the Life Sciences Interface (and the subsequent award of 'widening participation' funds in 2012). We believe there is a clear, growing and demonstrable need for high-end computing in this field, and propose a new HEC Consortium in biomolecular simulation. Working with CCP-BioSim, this Consortium will help bring HEC to a wider community, including non-traditional users and experimental bioscientists, and engage physical and computer scientists in biological applications.
使用强大的计算机进行模拟可以显示生物分子如何在原子细节上“工作”。例如,分子模拟可以显示药物与其生物靶点的结合、酶如何催化反应以及蛋白质如何折叠成其功能形式。生物分子模拟是一个充满活力和不断发展的领域,对生物学做出越来越重要的贡献。这是一个日益具有国际重要性的领域。生物分子的模拟补充了建立分子水平的生物学理解的实验:它们可以测试假设,并在原子水平的相互作用方面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。生物分子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新机会,在生物分子科学,包括在药物开发和生物技术。许多生物分子模拟需要高端计算(HEC)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)。生物分子模拟在生物技术、药物设计、生物催化和生物医学等领域的贡献越来越大。英国在这一领域拥有强大的社区,EPSRC最近(2011年)建立了CCP-BioSim(ccpbiosim.ac.uk),这是英国生命科学接口生物分子模拟合作计算项目(以及随后在2012年获得的“扩大参与”基金)。我们相信,在这一领域对高端计算的需求是明确的、不断增长的和可论证的,并提出了一个新的生物分子模拟HEC联盟。与CCP-BioSim合作,该联盟将有助于将HEC带到更广泛的社区,包括非传统用户和实验生物科学家,并让物理和计算机科学家参与生物应用。
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)
Accurate calculation of the absolute free energy of binding for drug molecules.
- DOI:10.1039/c5sc02678d
- 发表时间:2016-01-14
- 期刊:
- 影响因子:8.4
- 作者:Aldeghi M;Heifetz A;Bodkin MJ;Knapp S;Biggin PC
- 通讯作者:Biggin PC
Statistical Analysis on the Performance of Molecular Mechanics Poisson-Boltzmann Surface Area versus Absolute Binding Free Energy Calculations: Bromodomains as a Case Study.
- DOI:10.1021/acs.jcim.7b00347
- 发表时间:2017-09-25
- 期刊:
- 影响因子:5.6
- 作者:Aldeghi M;Bodkin MJ;Knapp S;Biggin PC
- 通讯作者:Biggin PC
Predictions of Ligand Selectivity from Absolute Binding Free Energy Calculations.
从绝对结合自由能计算中的配体选择性预测。
- DOI:10.1021/jacs.6b11467
- 发表时间:2017-01-18
- 期刊:
- 影响因子:15
- 作者:Aldeghi M;Heifetz A;Bodkin MJ;Knapp S;Biggin PC
- 通讯作者:Biggin PC
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
Molecular dynamics simulation of the adsorption of mung bean defensin VrD1 to a phospholipid bilayer
- DOI:10.1016/j.foostr.2019.100117
- 发表时间:2019-07
- 期刊:
- 影响因子:0
- 作者:Huda A. Alghamdi;Lydia Campbell;S. Euston
- 通讯作者:Huda A. Alghamdi;Lydia Campbell;S. Euston
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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:
$ 36.76万 - 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:
$ 36.76万 - 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:
$ 36.76万 - 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:
$ 36.76万 - 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:
$ 36.76万 - 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:
$ 36.76万 - 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:
$ 36.76万 - 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:
$ 36.76万 - 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/J010588/1 - 财政年份:2011
- 资助金额:
$ 36.76万 - 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:
$ 36.76万 - 项目类别:
Research Grant
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