HIGH-PERFORMANCE WEIGHTED ENSEMBLE SOFTWARE FOR SIMULATION OF COMPLEX BIO-EVENTS

用于模拟复杂生物事件的高性能加权集成软件

• 批准号: 9306884
• 负责人: LILLIAN T CHONG
• 金额: $ 32.93万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9306884
• 关键词: Amber; Benchmarking; Big Data; Binding; Bioinformatics; Biological; Biomedical Computing; Biomedical Research; Capsid; Categories; Cell model; Chemicals; Communication; Complex; Computational Biology; Computer software; Computers; Custom; Data Science; Development; Documentation; Drug Design; Effectiveness; Equilibrium; Event; Exhibits; Individual; Informatics; Instruction; Kinetics; Lead; Length; Malignant Neoplasms; Modeling; Modernization; Molecular; Neurologic Process; Outcome; Pathologic; Performance; Process; Proteins; Protocols documentation; Research; Research Personnel; Running; Sampling; Series; Silicon; Software Tools; Statistical Computing; Stress Tests; System; Technology; Testing; Time; United States National Institutes of Health; Virus; base; cell behavior; chemical kinetics; computing resources; conformational conversion; data sharing; design; experience; improved; insight; interest; interoperability; learning materials; millisecond; open source; parallelization; protein complex; protein folding; public health relevance; response; simulation; simulation software; tool

 DESCRIPTION (provided by applicant): There is a "silicon ceiling" that ultimately limits many, if not most, types of dynamical biological simulations. That is, even the world's most powerful computers cannot generate sufficiently long simulations, whether for atomistic models of proteins or for realistic models of cell behavior. In many cases, the key events may occur beyond simulation timescales - such as protein folding, conformational transitions of proteins, assembly of protein complexes, or transitions of cell behavior from healthy to pathological states. We therefore propose a response to PA-14-156, "Extended Development, Hardening and Dissemination of Technologies in Biomedical Computing, Informatics and Big Data Science (RO1)," in which we will continue to enhance the "WESTPA" software package. WESTPA is a tool for controlling other software tools: it orchestrates up to thousands of trajectories run natively by other software at any scale (e.g., Gromacs, Amber, BioNetGen, MCell) using a "weighted ensemble" strategy. Not only does WESTPA parallelize the use of dynamics engines - but because of the statistical process by which trajectories are added and removed, WESTPA can obtain estimates of key kinetic as well as equilibrium observables in significantly less computing time than would be required in ordinary parallelization. The aims of the proposal are to improve the ease of use and interoperability of WESTPA; to improve its performance and reliability; to demonstrate the effectiveness of WESTPA through a series of "showcase" examples from molecular to cellular scale using a variety of dynamics engines; and to improve instructional materials based on the showcase examples.

 描述（由申请人提供）：存在一个“硅天花板”，最终限制了许多（如果不是大多数）类型的动态生物模拟，也就是说，即使是世界上最强大的计算机也无法生成足够长的模拟，无论是对于蛋白质的原子模型。或者对于细胞行为的现实模型，在许多情况下，关键事件可能会在模拟时间尺度之外发生，例如蛋白质折叠、蛋白质构象转变、蛋白质复合物组装或细胞行为从健康到病理的转变。因此，我们提出对 PA-14-156“生物医学计算、信息学和大数据科学 (RO1) 技术的扩展开发、强化和传播”的回应，其中我们将继续增强“WESTPA”软件包。 WESTPA 是一个用于控制其他软件工具的工具：它协调由任何规模的其他软件（例如 Gromacs、Amber、BioNetGen、 MCell）使用“加权集成”策略不仅可以并行使用动力学引擎，而且由于添加和删除轨迹的统计过程，WESTPA 可以用更少的时间获得关键动力学和平衡可观测值的估计。该提案的目的是提高 WESTPA 的易用性和互操作性，以提高其性能和可靠性；使用各种动力学引擎“展示”从分子到细胞尺度的示例；并根据展示示例改进教学材料。