RAPID: Optimizing Experimental Approaches to Ebola Membrane Fusion Inhibitor Peptide Design through High-Throughput Biomolecular Simulation Workflows on Blue Waters

RAPID：通过蓝水域高通量生物分子模拟工作流程优化埃博拉膜融合抑制剂肽设计的实验方法

• 批准号: 1521728
• 负责人: Thomas Cheatham
• 金额: $ 20万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1521728&HistoricalAwards=false
• 关键词: RAPID; Optimizing; Experimental; Approaches; Ebola

This project seeks to greatly reduce the overall experimentation time for finding promising drugs that fight Ebola. A very early stage of Ebola infection is viral entry, when the Ebola virus attaches to and enters the host cell. A promising type of antiviral drug is one that is "entry-inhibiting" or "entry-blocking". This type of drug inhibits the entry of the Ebola virus into the cell. In order for this drug to work well, it must be made up of Ebola inhibitor molecules that bind strongly to the Ebola virus, that is, these inhibitors must have a strong "binding affinity" to the virus. This project seeks to greatly speed up the process of finding Ebola inhibitors (that can then be incorporated into anti-viral drugs) by analyzing promising inhibitors and improving their binding affinity by simulating and optimizing their behavior on supercomputers. Inhibitors are found and initially vetted through "virtual" testing and only promising inhibitors are sent for laboratory testing. The new software for high-performance computing based simulations, that this project will develop and use, will run on the Blue Waters Petascale Resource. This project seeks to develop steerable, high-throughput simulation workflows that facilitate the rapid investigation of modifications to the lead peptides of potential inhibitors of the Ebola virus to improve their binding affinity to the virus. The results of each experiment can feed back into further rounds of optimization to speed the peptide design process. This proposal builds on work done previously: (a) lessons learned from previous simulations (b) the availability of a simulation package named AMBER MD, that already has code optimized for GPUs on Blue Waters that will make simulations run faster, and (c) prototype code for analysis steps and input staging. Also, the PI plans to use an existing workflow engine (such as PEGASUS) to build the workflows. Thus, there is a stated intent to make robust software and reuse software that already exists, which aligns with the ACI programs strategic goals.

该项目旨在大大缩短寻找抗埃博拉药物的总体实验时间。埃博拉感染的非常早期阶段是病毒进入，此时埃博拉病毒附着并进入宿主细胞。一种很有前途的抗病毒药物是“进入抑制”或“进入阻断”药物。这种药物可以抑制埃博拉病毒进入细胞。为了使这种药物发挥良好的作用，它必须由与埃博拉病毒强结合的埃博拉抑制剂分子组成，也就是说，这些抑制剂必须对病毒具有很强的“结合亲和力”。该项目旨在通过分析有前景的抑制剂，并通过在超级计算机上模拟和优化它们的行为来提高它们的结合亲和力，从而大大加快发现埃博拉抑制剂（然后可以将其纳入抗病毒药物）的过程。抑制剂被发现并通过“虚拟”测试进行初步审查，只有有希望的抑制剂被送往实验室测试。该项目将开发和使用的基于高性能计算模拟的新软件将在Blue Waters Petascale Resource上运行。该项目旨在开发可操纵的高通量模拟工作流程，以促进对埃博拉病毒潜在抑制剂的先导肽修饰的快速研究，以提高其与病毒的结合亲和力。每个实验的结果都可以反馈到进一步的优化中，以加快肽的设计过程。该建议建立在以前所做的工作的基础上：(a)从以前的模拟中吸取的教训(b)一个名为AMBER MD的模拟包的可用性，该包已经为Blue Waters上的gpu优化了代码，这将使模拟运行得更快，(c)用于分析步骤和输入阶段的原型代码。此外，PI计划使用现有的工作流引擎（如PEGASUS）来构建工作流。因此，有一个明确的意图是制作健壮的软件和重用已经存在的软件，这与ACI计划的战略目标是一致的。