Core F: Structure

核心F：结构

• 批准号: 8376136
• 负责人: JOHN A GERLT
• 金额: $ 85.04万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8376136
• 关键词: Address; Binding; Characteristics; Communication; Computer Simulation; Core Protein; Crystallization; Data; Data Collection; Deposition; Docking; Enzymes; Evaluation; Evolution; Exhibits; Family; Fostering; Funding; Goals; Individual; Intervention; Ligands; Manuals; Modeling; National Institute of General Medical Sciences; New York; Positioning Attribute; Production; Protein Structure Initiative; Proteins; Recording of previous events; Research; Research Infrastructure; Resources; Staging; Structure; System; Triage; Work; base; data structure; design; design and construction; experience; flexibility; insight; meetings; member; protein distribution; protein purification; structural genomics

While the infrastructure and organization of the EFI are inspired by the PSI, there are significant differences in their objectives, which offer unique opportunities for the EFI. Historically, the primary focus of the PSI has been on increasing the structural coverage of fold and sequence space, and the structure of any member of a particular sequence family is a suitable representative of the entire family. Consequently, all PSI targets are subjected to extensive triage, and only those sequences exhibiting highly favorable characteristics at each step of the pipeline are taken fonward for structure determination. This approach maximizes fold/sequence coverage regardless of functional importance. In contrast, the EFI is explicitly concerned with the discovery of function and thus will frequently necessitate the study of recalcitrant sequences requiring efforts that exceed those commonly expended on any individual PSI target. Accordingly, the PC and SC are positioned to implement considerable primary and secondary rescue strategies in protein purification, crystallization, data collection and structure determination in order to successfully prosecute those targets that are most informative in terms of function, mechanism and evolution. In particular, as needed and detailed below, the expert technical staff of the SC is prepared to provide extensive and expanded efforts in crystallization, data collection and structure determination. Furthermore, beyond these traditional aspects of the structure discovery pipeline, the SC will devote considerable resources to ligand identification efforts in order to 1) obtain direct functional insights, 2) aid in crystallization, and 3) maximize the utility of structures for computational ligand discovery.

尽管EFI的基础架构和组织受PSI的启发，但其目标存在很大差异，这为EFI提供了独特的机会。从历史上看，PSI的主要重点一直在增加折叠和序列空间的结构覆盖范围，而特定序列家族的任何成员的结构都是整个家族的合适代表。因此，所有PSI目标均为 经过广泛的分类，只有那些在管道的每个步骤中表现出高度有利特征的序列才能进行结构确定。无论功能重要性如何，这种方法都可以最大化倍数/序列覆盖率。相比之下，EFI明确与发现功能的发现有关，因此经常需要研究顽固的序列，要求努力超过那些 通常用于任何单个PSI目标。因此，PC和SC在蛋白质纯化，结晶，数据收集和结构确定中实施相当大的主要和次要救援策略，以便成功起诉那些在功能，机制和进化方面最有用的目标。特别是，根据需要和下面的详细信息，专家技术人员 SC准备在结晶，数据收集和结构确定方面提供广泛而扩展的努力。此外，除了结构发现管道的这些传统方面，SC还将大量资源用于配体识别工作，以便为了1）获得直接的功能见解，2）帮助结晶，3）最大化计算配体发现结构的实用性。