Collaborative Research: SI2-CHE: ExTASY Extensible Tools for Advanced Sampling and analYsis
合作研究:SI2-CHE:用于高级采样和分析的 ExTASY 可扩展工具
基本信息
- 批准号:1265929
- 负责人:
- 金额:$ 58.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Collaborative Research: SI2-CHEExTASY Extensible Tools for Advanced Sampling and analYsisAn international team consisting of Cecilia Clementi(Rice University), Mauro Maggioni (Duke University) Shantenu Jha (Rutgers University), Glenn Martyna (BM T. J. Watson Laboratory ), Charlie Laughton (University of Nottingham), Ben Leimkuhler ( University of Edinburgh), Iain Bethune (University of Edinburgh) and Panos Parpas(Imperial College) are supported through the SI2-CHE program for the development of ExTASY: Extensible Toolkit for Advanced Sampling and analYsis, a conceptual and software framework that provides a step-change in the sampling of the conformational space of macromolecular systems. Specifically, ExTASY is a lightweight toolkit to enable first-class support for ensemble-based simulations and their seamless integration with dynamic analysis capabilities and ultra-large time step integration methods, whilst being extensible to other community software components via well-designed and standard interfaces. The primary impacts of this project are in the biological sciences. This software advances our understanding of biologically important systems, as it can be used to obtain fast and accurate sampling of the conformational dynamics of stable proteins; a prerequisite for the accurate prediction of thermodynamic parameters and biological functions. It also allows tackling systems like intrinsically disordered proteins, which can be beyond the reach of classical structural biology. Along with the research itself, the PIs are involved with outreach programs to attract high school students to science.
合作研究:SI2-CHEExTASY 用于高级采样和分析的可扩展工具国际团队由 Cecilia Clementi(莱斯大学)、Mauro Maggioni(杜克大学)Shantenu Jha(罗格斯大学)、Glenn Martyna(BM T. J. Watson 实验室)、Charlie Laughton(诺丁汉大学)、Ben Leimkuhler(爱丁堡大学)、Iain 组成 Bethune(爱丁堡大学)和 Panos Parpas(帝国理工学院)通过 SI2-CHE 计划支持开发 ExTASY:用于高级采样和分析的可扩展工具包,这是一个概念和软件框架,为大分子系统构象空间的采样提供了阶跃变化。具体来说,ExTASY 是一个轻量级工具包,可为基于集成的模拟及其与动态分析功能和超大时间步积分方法的无缝集成提供一流的支持,同时可通过精心设计的标准接口扩展到其他社区软件组件。 该项目的主要影响是在生物科学领域。 该软件增进了我们对生物学重要系统的理解,因为它可用于获得稳定蛋白质构象动力学的快速、准确的采样;准确预测热力学参数和生物功能的先决条件。它还允许处理诸如本质上无序的蛋白质之类的系统,这可能超出了经典结构生物学的范围。除了研究本身之外,PI 还参与了吸引高中生接触科学的推广计划。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Cecilia Clementi其他文献
Prediction of protein functional states by multi-resolution protein modeling
- DOI:
10.1016/j.bpj.2008.12.2990 - 发表时间:
2009-02-01 - 期刊:
- 影响因子:
- 作者:
Cecilia Clementi - 通讯作者:
Cecilia Clementi
Multiscale Modeling of Biomolecular Processes by Combining Experiment and Simulation
- DOI:
10.1016/j.bpj.2018.11.226 - 发表时间:
2019-02-15 - 期刊:
- 影响因子:
- 作者:
Cecilia Clementi - 通讯作者:
Cecilia Clementi
Navigating protein landscapes with a machine-learned transferable coarse-grained model
利用机器学习可迁移的粗粒度模型探索蛋白质景观
- DOI:
10.1038/s41557-025-01874-0 - 发表时间:
2025-07-18 - 期刊:
- 影响因子:20.200
- 作者:
Nicholas E. Charron;Klara Bonneau;Aldo S. Pasos-Trejo;Andrea Guljas;Yaoyi Chen;Félix Musil;Jacopo Venturin;Daria Gusew;Iryna Zaporozhets;Andreas Krämer;Clark Templeton;Atharva Kelkar;Aleksander E. P. Durumeric;Simon Olsson;Adrià Pérez;Maciej Majewski;Brooke E. Husic;Ankit Patel;Gianni De Fabritiis;Frank Noé;Cecilia Clementi - 通讯作者:
Cecilia Clementi
The Molecular Sciences Software Institute
分子科学软件研究所
- DOI:
10.6084/m9.figshare.4684231.v1 - 发表时间:
2017 - 期刊:
- 影响因子:2.2
- 作者:
T. Crawford;Cecilia Clementi;Robert J. Harrison;S. Jha;Anna Krylov;Vijay S. Pande;Theresa Windus - 通讯作者:
Theresa Windus
Peering inside the black box: Learning the relevance of many-body functions in Neural Network potentials
窥探黑匣子内部:学习神经网络势中多体功能的相关性
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Klara Bonneau;Jonas Lederer;Clark Templeton;David Rosenberger;Klaus;Cecilia Clementi - 通讯作者:
Cecilia Clementi
Cecilia Clementi的其他文献
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{{ truncateString('Cecilia Clementi', 18)}}的其他基金
Collaborative Research: Designing and Assessing Effective "Hands-On" Training for Computational Science
协作研究:设计和评估有效的计算科学“实践”培训
- 批准号:
1546678 - 财政年份:2015
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
Collaborative Research: The Power of Many: Scalable Compute and Data-Intensive Science on Blue Waters
协作研究:多人的力量:蓝水域的可扩展计算和数据密集型科学
- 批准号:
1516284 - 财政年份:2015
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
Collaborative Research: S2I2: Conceptualization of a Center for Biomolecular Simulation
合作研究:S2I2:生物分子模拟中心的概念化
- 批准号:
1331519 - 财政年份:2014
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
Multi-resolution framework for the characterization of protein mechanisms
用于表征蛋白质机制的多分辨率框架
- 批准号:
1152344 - 财政年份:2012
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
Travel Grant Proposal to establish a US-UK Collaboration on Adaptive Collective Variables
关于建立美英适应性集体变量合作的旅行补助金提案
- 批准号:
1147041 - 财政年份:2011
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
Collaborative Proposal: CDI-Type I: A multidisciplinary, multiscale approach to discover organizing principles in macromolecular dynamics and functions
合作提案:CDI-I 型:发现大分子动力学和功能中组织原理的多学科、多尺度方法
- 批准号:
0835824 - 财政年份:2008
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
CAREER: Holistic Approach to the Study of Protein Mechanisms
职业:蛋白质机制研究的整体方法
- 批准号:
0349303 - 财政年份:2004
- 资助金额:
$ 58.5万 - 项目类别:
Standard Grant
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