Development of a Database of Protein Motions and Associated Tools
蛋白质运动数据库和相关工具的开发
基本信息
- 批准号:9723182
- 负责人:
- 金额:$ 30.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-08-01 至 2001-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goal of this proposal is to construct a working database of protein motions. This database will be made into a publicly accessible WWW community resource, of general use to the molecular biophysics community. It will meet the needs of researchers trying to understand the principles of protein structure and function (since motions are often the link between structure and function). The database will be associated with a classification of protein motions, based on the packing at mobile interfaces. The construction of this database has recently become feasible because of a number of developments: the great increase in the number of solved protein structures, the creation of an infrastructure of linked biological databases, and work showing how packing can be used to rationalize mechanisms for protein motions. The development of the database will proceed in two phases with two objectives in each phase (one computational and the other biological). The principal objective in the first phase will be to establish a working, prototype database of protein motions. Motions in this database will initially be arranged hierarchically in terms of size (i.e. fragment, domain, and subunit) and then packing. The packing classification will depend on whether or not the motion involves sliding over a continuously maintained interface. To achieve the first objective it will be necessary to develop a standardized nomenclature and conceptual- information model for protein motions. This will include information such as the number of hinges, the magnitude of the rigidbody rotation, and the number and size of the mobile interfaces. Building upon the framework established in the first phase, the second phase of the project will expand the database and associated motions classification. The goal will be to have an entry for every known protein motion. In addition, "inferred motions," in sequence and structure homologues of a protein with known motion, will also be included. To han dle the large amount of data this will involve analyzing and to help "populate" the database, an automatic conformation comparison tool will be developed. This will rapidly align and compare two arbitrary protein conformations, identifying rigid core regions, flexible hinges, interface packing differences, and so forth. It will also determine whether these structures have any sequence or structure homologues that share their motion. The expansion of the database will require a more sophisticated structure for describing the relationships between motions and a more detailed motion classification scheme than the size-packing hierarchy initially used. The motions classification will be expanded through detailed geometric analysis and calculation, principally focusing on the packing at mobile interfaces.
这个建议的目标是建立一个蛋白质运动的工作数据库。这个数据库将成为一个公众可访问的WWW社区资源,一般用于分子生物物理学社区。它将满足研究人员试图了解蛋白质结构和功能原理的需求(因为运动通常是结构和功能之间的联系)。该数据库将与蛋白质运动的分类相关联,基于在移动的接口的包装。这个数据库的建设最近已经成为可行的,因为一些发展:在解决蛋白质结构的数量大大增加,创建一个基础设施的连接生物数据库,以及工作显示如何包装可以用来合理化蛋白质运动的机制。 数据库的开发将分两个阶段进行,每个阶段有两个目标(一个是计算目标,另一个是生物目标)。第一阶段的主要目标是建立一个蛋白质运动的工作原型数据库。该数据库中的运动最初将根据大小(即片段、域和子单元)分层排列,然后打包。填充分类将取决于运动是否涉及在连续保持的界面上滑动。 为了实现第一个目标,将有必要发展一个标准化的命名和概念信息模型的蛋白质运动。这将包括诸如铰链的数量、刚体旋转的幅度、以及移动的接口的数量和尺寸等信息。 在第一阶段建立的框架基础上,项目第二阶段将扩大数据库和相关的动作分类。我们的目标是为每一个已知的蛋白质运动都有一个条目。此外,还将包括具有已知运动的蛋白质的序列和结构同源物中的“推断运动”。为了处理大量的数据,这将涉及分析和帮助“填充”数据库,将开发一个自动构象比较工具。这将快速比对和比较两种任意蛋白质构象,识别刚性核心区域,柔性铰链,界面包装差异等。它还将确定这些结构是否具有共享其运动的任何序列或结构同源物。 数据库的扩大将需要一个更复杂的结构来描述运动之间的关系,并需要一个比最初使用的尺寸包装层次结构更详细的运动分类方案。运动分类将通过详细的几何分析和计算来扩展,主要集中在移动的接口处的填充。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mark Gerstein其他文献
ChatCell: Facilitating Single-Cell Analysis with Natural Language
ChatCell:利用自然语言促进单细胞分析
- DOI:
- 发表时间:
2024 - 期刊:
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- 作者:
Yin Fang;Kangwei Liu;Ningyu Zhang;Xinle Deng;Penghui Yang;Zhuo Chen;Xiangru Tang;Mark Gerstein;Xiaohui Fan;Huajun Chen - 通讯作者:
Huajun Chen
$\zeta$-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations
$zeta$-QVAE:利用正则化混合状态潜在表示的量子变分自动编码器
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Gaoyuan Wang;Jonathan Warrell;Prashant S. Emani;Mark Gerstein - 通讯作者:
Mark Gerstein
Step-Back Profiling: Distilling User History for Personalized Scientific Writing
后退分析:提炼用户历史以进行个性化科学写作
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Xiangru Tang;Xingyao Zhang;Yanjun Shao;Jie Wu;Yilun Zhao;Arman Cohan;Ming Gong;Dongmei Zhang;Mark Gerstein - 通讯作者:
Mark Gerstein
How far can sequences diverge?
序列能发散多远?
- DOI:
10.1038/385579a0 - 发表时间:
1997-02-13 - 期刊:
- 影响因子:48.500
- 作者:
Cyrus Chothia;Mark Gerstein - 通讯作者:
Mark Gerstein
Scalable and efficient on-chain data management in blockchain for large biomedical data
区块链中针对大型生物医学数据的可扩展且高效的链上数据管理
- DOI:
10.1016/j.jbi.2025.104818 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:4.500
- 作者:
Eric Ni;Elizabeth Knight;Mark Gerstein - 通讯作者:
Mark Gerstein
Mark Gerstein的其他文献
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{{ truncateString('Mark Gerstein', 18)}}的其他基金
Collaborative Proposal: ABI Innovation:A Graph Based Approach for the Genome Wide Prediction of Conditionaly Essential Genes
合作提案:ABI Innovation:基于图形的条件必需基因全基因组预测方法
- 批准号:
1660648 - 财政年份:2017
- 资助金额:
$ 30.75万 - 项目类别:
Standard Grant
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