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Adaptive Multi-Layer Simulations of NarK Transport Protein

Adaptive Multi-Layer Simulations of NarK Transport Protein
NarK 转运蛋白的自适应多层模拟
批准号:
2153441
负责人:
Hai Lin
金额:
$49.7万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-15 至 2025-05-31

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中文摘要
翻译
在化学系化学理论、模型和计算方法项目的资助下,科罗拉多大学丹佛分校的Hai Lin和Emily Guidez将开发并应用新的计算算法来研究离子如何通过膜蛋白NAK运输。NARK蛋白将硝酸盐(基本元素氮的一种矿物形式)输入细胞,并将亚硝酸盐(一种高浓度下可能有毒的代谢物)输出细胞。然而,对该蛋白的作用机制仍知之甚少。为了提供关键的见解,迫切需要准确和高效的计算机建模和模拟。Lin和Guidez将制定新的多尺度算法,将量子和经典建模技术无缝地结合在一起,他们的研究小组将利用这些算法,挖掘有关nark如何帮助离子穿过细胞膜的原子细节。这项合作研究有可能从根本上提高对膜转运蛋白吸收养分的理解,因此,从长远来看,可能有助于开发与这些蛋白质故障相关的疾病的新疗法。科罗拉多大学丹佛分校既是一所为拉美裔美国人服务的机构(HSI),也是一所为太平洋岛民服务的亚裔美国原住民机构。林和Guidez将直接和通过EUReCA积极从代表性不足的群体中招收学生,以促进多样性!和XSEDE增强了程序的能力。此外,他们将扩大与樱桃溪高中非常成功的合作伙伴关系,将樱桃溪创新园区包括在内,在那里,高中教师将通过一年一度的暑期研究计划参与实践研究。这些外展活动将促进K-12课程的创新,并探索学生在STEM(科学、技术、工程和数学)领域的研究兴奋。多年来,毒品运输机的运行机制一直难以捉摸。例如,突变实验表明,与离域pi键结合的结合位点残基是运输活动所必需的,但它们如何影响底物招募和转位仍不清楚。Lin和Guidez将开发新的自适应分区多层方法,这是具有动态重新定位层间边界的下一代ONIOM类方法。新的算法有望实现高精度和高效率的动力学模拟,以解锁NAK中阴离子结合和易位的分子细节。这一项目产生的新的模拟工具和机制洞察力都有可能改变许多通道和转运体的离子迁移研究。通过一系列暑期外展计划,该项目将提供极好的机会,让K-12教师和学生接触现代计算机建模技术,并积极参与生化研究。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
With funding from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry, Hai Lin and Emilie Guidez of the University of Colorado-Denver will develop and apply novel computational algorithms to study how ions are transported through the membrane protein NarK. The NarK protein imports nitrate (a mineral form of the essential element nitrogen) into the cell and exports nitrite (a metabolite that can be toxic in high concentrations) out of the cell. However, the mechanism of the NarK protein remains poorly understood. Accurate and efficient computer modeling and simulations are highly desired to provide critical insights. Lin and Guidez will formulate new multiscale algorithms that seamlessly combine quantum and classical modeling techniques, and employing these algorithms, their research groups will set forth to unearth the atomistic details on how NarK helps the ions travel across the cell membranes. This collaborative research has the potential to fundamentally advance understanding of nutrient uptake by membrane transporters and, consequently, in the longer term, potentially assist in the development of novel therapies for diseases related to these protein malfunctions. The University of Colorado-Denver is both a Hispanic-Serving Institution (HSI) and an Asian American Native American Pacific Islander-Serving Institution. Lin and Guidez will actively recruit students from underrepresented groups to promote diversity, both directly and through the EUReCA! and XSEDE EMPOWER programs. In addition, they will expand the highly successful partnership with Cherry Creek High School to include Cherry Creek Innovation Campus, where high-school teachers will participate in hands-on research through a yearly summer research program. These outreach activities will promote K-12 curriculum innovation and explore students to the excitement of research in STEM (science, technology, engineering and mathematics) fields.The operation mechanism of the NarK transporter has remained elusive for many years. For example, mutagenesis experiments have revealed that the binding-site residues with delocalized pi bonds are essential to the transport activities, but exactly how they influence substrate recruitment and translocation remains unknown. Lin and Guidez will develop novel adaptive-partitioning multi-layer methods that are next-generation ONIOM-like methods with on-the-fly relocated interlayer boundaries. The new algorithms are expected to enable highly accurate and efficient dynamics simulations to unlock the molecular details of anion binding and translocation in NarK. Both the new simulation tools and the mechanistic insights resulting from this project can potentially transform the study of ion migration for many channels and transporters. Through a series of summer outreach programs, this project will provide excellent opportunities to get K-12 teachers and students by exposing them to modern computer modeling techniques, and actively engaging them in biochemical research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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  • 批准号:
    2120656
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 财政年份:
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  • 负责人:
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  • 负责人:
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