Computational Design of Protein Structures and Complexes

蛋白质结构和复合物的计算设计

• 批准号: 10433948
• 负责人: BRIAN A KUHLMAN
• 金额: $ 79.13万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10433948
• 关键词: Area; Binding Proteins; Binding Sites; Biological Process; Code; Communities; Computer software; Computers; Computing Methodologies; Development; Disease; Engineering; Environment; Goals; Ligand Binding; Maintenance; Medicine; Methods; Nature; Persons; Protein Engineering; Proteins; Reagent; Research; Running; Sampling; Sum; Surface; Tertiary Protein Structure; Testing; Therapeutic; anti-cancer therapeutic; anticancer activity; base; design; enzyme activity; improved; molecular modeling; novel strategies; programs; protein complex; protein folding; protein protein interaction; protein structure

Project Summary/Abstract Protein design is a rigorous test of our understanding of protein structure and stability and can be used to create proteins that have important applications in research and medicine. This project focuses on three topics in computer-based protein design: (1) the design of protein–protein interfaces, (2) de novo protein design, and (3) development of the molecular modeling program Rosetta. Protein–protein interactions are essential to almost all biological processes. We have developed new adaptive sampling strategies within Rosetta for designing interaction surfaces between protein domains that do not naturally interact. We will continue to improve this method while testing it on diverse design goals such as engineering autoinhibitory domains to regulate the activity of anti-cancer therapeutics and enhancing enzyme activity via the incorporation of substrate recognition domains. Our second area of focus is de novo protein design, and more particularly, an approach that we call requirement-driven protein design, in which the goal is to create well-folded proteins that match a set of user- defined requirements. To perform requirement-driven protein design, we have created a computational method called SEWING for designing proteins from pieces of naturally occurring proteins. We will explore a variety of design requirements with SEWING, including the incorporation of ligand-binding sites and protein interaction motifs. The third area of concentration for this project is the improvement and maintenance of the molecular modeling software Rosetta. We will continue long-standing activities aimed at supporting the large community of Rosetta developers and users. These include running Rosetta “boot camps” that teach people how to code in the Rosetta environment and spearheading code-cleanup activities to improve the extensibility of the software. In addition, we will develop new approaches for rapidly calculating the energy of a protein and create core methods that will allow the community to take better advantage of hardware advances in GPUs. In sum, by pursuing this project, we will expand the capabilities of computational protein design and create molecules that can be used to understand or treat disease.

项目概要/摘要 蛋白质设计是对我们对蛋白质结构和稳定性理解的严格测试，可用于创建 在研究和医学中具有重要应用的蛋白质该项目重点关注三个主题。 基于计算机的蛋白质设计：（1）蛋白质-蛋白质界面的设计，（2）从头蛋白质设计，以及（3） 分子建模程序 Rosetta 的开发对于几乎所有蛋白质相互作用都至关重要。 我们在 Rosetta 中开发了新的自适应采样策略来进行设计。 我们将继续改进不自然相互作用的蛋白质结构域之间的相互作用表面。 方法，同时在不同的设计目标上进行测试，例如工程自抑制域以调节活性 通过结合底物识别来进行抗癌治疗并增强酶活性 我们的第二个重点领域是从头蛋白质设计，更具体地说，是一种我们称之为的方法。 需求驱动的蛋白质设计，其目标是创建与一组用户匹配的折叠良好的蛋白质 为了执行需求驱动的蛋白质设计，我们创建了一种计算方法。 称为 SEWING，用于从天然存在的蛋白质片段中设计蛋白质。 SEWING 的设计要求，包括配体结合位点和蛋白质相互作用的结合 该项目的第三个重点领域是分子的改进和维护。 我们将继续致力于支持大型社区的长期活动。 其中包括运行 Rosetta“训练营”，教人们如何编码。 在 Rosetta 环境中并带头进行代码清理活动，以提高软件的可扩展性。 此外，我们将开发快速计算蛋白质能量的新方法并创建核心 总而言之，这些方法将使社区能够更好地利用 GPU 的硬件进步。 在这个项目中，我们将扩展计算蛋白质设计的能力并创建能够 可用于了解或治疗疾病。