CAREER: Atomistic Simulations of Enzymatic Modulation of Long-Timescale Biomolecular Switches

职业：长时标生物分子开关酶促调节的原子模拟

• 批准号: 0953061
• 负责人: Donald Hamelberg
• 金额: $ 87.73万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-02-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953061&HistoricalAwards=false
• 关键词: CAREER; Atomistic; Simulations; Enzymatic; Modulation

Sub-cellular signaling processes generally involve recognition and transient interactions between biomolecules and switching of conformations. These signaling processes, at times, occur over very long timescales (seconds to minutes). For the on-off signaling to take place at biologically relevant timescales (milliseconds), nature has provided enzymes to catalyze and increase the rates of these processes. One of the major challenges in computational biophysics is describing, at the atomistic detail, biomolecular events that are beyond the microsecond timescale. This project takes advantage of an accelerated molecular dynamics simulation method developed by the principle investigator (PI) to access long timescale events and fully model the enzymatic mechanism of peptidyl prolyl cis-trans isomerases (PPIases). PPIases are a class of ubiquitous enzymes that catalyze the notoriously slow cis-trans switching of the prolyl peptide bond of their protein substrates in many important signaling pathways. The goal of this CAREER project is to investigate the conformational transitions of cis-trans biomolecular switches, including the phosphorylation dependent cis-trans switches, and the associated mechanistic role of PPIases. Experiments have provided wealth of structural insights and kinetic information on PPIases, but they have not been able to provide a complete picture of the mechanism at the atomistic level. Direct observations at this level are hard to achieve with current experimental techniques. As a result, the mechanism of action of PPIases that is required for better understanding of certain sub-cellular processes has been elusive and controversial.This CAREER project will have broad impacts in fundamental research as well as scientific training. By unraveling the atomistic details of biomolecular switching mechanisms and the accompanying protein dynamics, a better understanding of the inner workings of molecular machines at the physicochemical level will be achieved. And at a higher level, this will undoubtedly illuminate how cellular signaling takes place under normal and aberrant conditions. Also, the knowledge gained from this project will allow the PI to make testable hypotheses and to ask specific questions that can then be addressed experimentally. More importantly, this project provides an excellent opportunity to attract and train the next generation of scientists. Computational chemistry cuts across many disciplines, including chemistry, biology, physics, mathematics, and computer science, and therefore, provides an excellent tool for attracting students into the sciences. An advantage of computational chemistry in teaching is the fact that dynamic atomistic and molecular descriptions of concepts that would otherwise seem abstract can be made understandable. In addition to training undergraduate and graduate students, this project will allow the PI to expose high school students to scientific research in a safe environment and reach out to high school and middle school students through a well-established Bio-Bus outreach program at Georgia State University. This outreach program will help to raise scientific literacy amongst school-aged children and provide access to a larger audience, especially those in school districts with underrepresented minorities in science and engineering.

亚细胞信号传导过程通常涉及生物分子之间的识别和瞬时相互作用以及构象转换。这些信号过程有时会发生在很长的时间尺度上（几秒到几分钟）。为了使开关信号在生物学相关的时间尺度（毫秒）发生，大自然提供了酶来催化和增加这些过程的速率。计算生物物理学的主要挑战之一是在原子细节上描述超越微秒时间尺度的生物分子事件。该项目利用主要研究者（PI）开发的加速分子动力学模拟方法来访问长时间尺度事件，并完全模拟肽基脯氨酰顺反异构酶（PPIases）的酶促机制。PPIases是一类普遍存在的酶，其在许多重要的信号传导途径中催化其蛋白质底物的脯氨酰肽键的缓慢顺-反转换。这个CAREER项目的目标是研究顺式-反式生物分子开关的构象转变，包括磷酸化依赖的顺式-反式开关，以及PPIases的相关机制作用。实验提供了丰富的结构见解和动力学信息的PPIases，但他们还没有能够提供一个完整的图片在原子水平的机制。用目前的实验技术很难在这一水平上进行直接观测。因此，更好地理解某些亚细胞过程所需的PPIases的作用机制一直是难以捉摸和有争议的。这个CAREER项目将在基础研究和科学培训方面产生广泛的影响。通过解开生物分子开关机制和伴随的蛋白质动力学的原子细节，将实现在物理化学水平上更好地理解分子机器的内部工作。在更高的水平上，这无疑将阐明细胞信号在正常和异常条件下如何发生。此外，从这个项目中获得的知识将允许PI做出可验证的假设，并提出可以通过实验解决的具体问题。更重要的是，该项目提供了吸引和培养下一代科学家的绝佳机会。计算化学跨越许多学科，包括化学，生物学，物理学，数学和计算机科学，因此，为吸引学生进入科学提供了一个很好的工具。计算化学在教学中的一个优点是，可以使那些看起来抽象的概念的动态原子和分子描述变得可以理解。除了培训本科生和研究生外，该项目还将使PI能够让高中生在安全的环境中进行科学研究，并通过格鲁吉亚州立大学完善的生物巴士外展计划接触高中生和中学生。这一推广方案将有助于提高学龄儿童的科学素养，并为更多的受众提供机会，特别是那些在科学和工程领域少数民族代表性不足的学区的受众。