ANNOTATION OF PROTEIN FUNCTION BY LIGAND DESCRIPTORS

通过配体描述符对蛋白质功能进行注释

• 批准号: 8170534
• 负责人: Brian K Shoichet
• 金额: $ 0.71万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170534
• 关键词: Bioinformatics; Biology; Cells; Characteristics; Chemicals; Chemistry; Chromosome Mapping; Computer Retrieval of Information on Scientific Projects Database; Descriptor; Fingerprint; Funding; Grant; Institution; Ligands; Orphan; Protein Fingerprints; Proteins; Reagent; Research; Research Personnel; Resources; Role; Source; Structure; United States National Institutes of Health; base; protein function; receptor; structural genomics; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. A key problem in biology is assigning function to proteins of known sequence, sometimes even known structures, but unknown activity. Examples include efforts to de-orphan receptors, determine targets in cell-based (functional) screens, and structural genomics. Much effort has been focused on bioinformatics tools, but a possible role for chemical information has largely been ignored. Many proteins recognize characteristic sets of organic molecules (ligands), either in their normal function or as reagents that interrupt this function. We propose to "fingerprint" proteins using their ligands. Based on the similarity of this fingerprint to those of other proteins, it should be possible to create ligand chemistry-based linkage maps and to infer protein function.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 生物学中的一个关键问题是将功能分配给已知的蛋白质 序列，有时甚至是已知的结构，但未知的活性。 例子包括努力去孤儿受体，确定目标 基于细胞的（功能）筛选和结构基因组学。多多努力 一直专注于生物信息学工具，但可能发挥的作用 化学信息在很大程度上被忽视了。许多蛋白质识别 有机分子（配体）的特征集，无论是在它们的 正常功能或作为中断此功能的试剂。我们 建议使用其配体对蛋白质进行“指纹识别”。基于 该指纹与其他蛋白质的指纹相似，它应该 可以创建基于配体化学的连接图并推断 蛋白质功能。