AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation Analysis ofBiomolecules
AMBER/PBSA:用于精确且可扩展的生物分子溶剂化分析的开源计算机程序
基本信息
- 批准号:8888032
- 负责人:
- 金额:$ 28.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-05-01 至 2019-01-31
- 项目状态:已结题
- 来源:
- 关键词:AdoptedAlgorithmsBenchmarkingBinding ProteinsBiomedical ResearchChargeCommunitiesComparative StudyComplementComplexComputer softwareComputersDataDevelopmentDrug DesignElectrostaticsEnsureEquationEquilibriumEvaluationEventExperimental ModelsGrantGrowthImageryInvestigationIonsLigandsMaintenanceMeasurementMembraneMethodsModelingMolecularNucleic Acid FoldingNucleic AcidsPerformancePlayPositioning AttributeProteinsProtocols documentationPublicationsResearch PersonnelRoleSamplingScienceSolventsStructureSuggestionSurfaceSystemTranslational ResearchUniversitiesValidationWorkbasecomputer programdrug discoveryenzyme mechanismimprovedinsightinterestmodels and simulationnovel strategiesopen sourceparticleprogramsprotein foldingprotein misfoldingprotein structure predictionpublic health relevanceresearch studyresponsescreeningsimulationsolutetool
项目摘要
DESCRIPTION (provided by applicant): Atomistic simulations of biomolecules provide a detailed view of structure and dynamics that complement experiments. Increased conformational sampling, enabled by new algorithms and growth in computer power, now allows a much broader range of events to be observed, providing critical insights, largely inaccessible to experiments. Advancements in implicit solvation treatments have furthered the simulation reach to a broader range of studies of biomolecular structure, dynamics and function, including protein folding and misfolding, protein structure prediction, protein-ligand binding, enzyme mechanisms, and drug design. The AMBER/PBSA program is an open-source computer program for implicit solvation modeling of biomolecules. In this project, we propose to continue the maintenance and improvement of the AMBER/PBSA program by (1) growing and improving the AMBER/PBSA program in response to suggestions by our users; (2) developing and integrating lightweight analysis tools to facilitate better molecular simulations; (3) developing dielectric model for complex systems without apparent solvent/solute interface; and (4) continuing to validate the PB models.
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
RAY LUO其他文献
RAY LUO的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('RAY LUO', 18)}}的其他基金
Multi-scaled Modeling of Electrostatic and Polarization Effects in Biomolecules
生物分子静电和极化效应的多尺度建模
- 批准号:
10000166 - 财政年份:2019
- 资助金额:
$ 28.73万 - 项目类别:
Multi-scaled Modeling of Electrostatic and Polarization Effects in Biomolecules
生物分子静电和极化效应的多尺度建模
- 批准号:
10471300 - 财政年份:2019
- 资助金额:
$ 28.73万 - 项目类别:
Multi-scaled Modeling of Electrostatic and Polarization Effects in Biomolecules
生物分子静电和极化效应的多尺度建模
- 批准号:
10250389 - 财政年份:2019
- 资助金额:
$ 28.73万 - 项目类别:
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation A
AMBER/PBSA:用于精确且可扩展求解的开源计算机程序 A
- 批准号:
7855500 - 财政年份:2010
- 资助金额:
$ 28.73万 - 项目类别:
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation A
AMBER/PBSA:用于精确且可扩展求解的开源计算机程序 A
- 批准号:
8260360 - 财政年份:2010
- 资助金额:
$ 28.73万 - 项目类别:
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation Analysis ofBiomolecules
AMBER/PBSA:用于精确且可扩展的生物分子溶剂化分析的开源计算机程序
- 批准号:
9015448 - 财政年份:2010
- 资助金额:
$ 28.73万 - 项目类别:
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation A
AMBER/PBSA:用于精确且可扩展求解的开源计算机程序 A
- 批准号:
8464744 - 财政年份:2010
- 资助金额:
$ 28.73万 - 项目类别:
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation A
AMBER/PBSA:用于精确且可扩展求解的开源计算机程序 A
- 批准号:
8052808 - 财政年份:2010
- 资助金额:
$ 28.73万 - 项目类别:
Determinants of Folding Mechanism in Small Proteins
小蛋白质折叠机制的决定因素
- 批准号:
6822504 - 财政年份:2004
- 资助金额:
$ 28.73万 - 项目类别:
Determinants of Folding Mechanism in Small Proteins
小蛋白质折叠机制的决定因素
- 批准号:
7103497 - 财政年份:2004
- 资助金额:
$ 28.73万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 28.73万 - 项目类别:
Research Grant














{{item.name}}会员




