SIGNAL TRANSDUCTION AND PROTEIN PHOSPHORYLATION SYMPOSIUM

信号转导与蛋白质磷酸化研讨会

• 批准号: 7601711
• 负责人: SUSAN S. TAYLOR
• 金额: $ 0.18万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-05-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7601711
• 关键词: Biological Models; Biology; Computer Retrieval of Information on Scientific Projects Database; Funding; Grant; Individual; Institution; Ligands; Mediating; Pathway interactions; Phosphorylation; Protein Kinase; Proteins; Research; Research Personnel; Resources; Signal Transduction; Source; Time; United States National Institutes of Health; biological research; symposium; theories; 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. Appreciation for theoretical approaches in biology has been increasing over the past decade as biologists have recognized that many problems in integrative biology require theory. At the same time, physicists have been caught up in the excitement generated by rapid advances in biological research. Signal transduction, in general, and protein kinases, in particular, provide an excellent and highly dynamic model system where these theoretical tools can be applied to individual proteins as well as to networks of interacting proteins that are mediated by protein phosphorylations. The pathways, the protein kinases themselves, and the protein:protein and protein:ligand interactions that dictate their function are all highly dynamic.

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。子项目和 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。 在过去的十年中，随着生物学家认识到综合生物学中的许多问题需要理论，人们对生物学理论方法的重视不断增加。与此同时，物理学家也被生物学研究的快速进步所带来的兴奋所吸引。一般来说，信号转导，特别是蛋白激酶，提供了一个优秀且高度动态的模型系统，其中这些理论工具可以应用于单个蛋白质以及由蛋白质磷酸化介导的相互作用蛋白质网络。决定其功能的途径、蛋白激酶本身以及蛋白质：蛋白质和蛋白质：配体相互作用都是高度动态的。