Defining Macromolecular Recognition in Serine Proteases

丝氨酸蛋白酶大分子识别的定义

• 批准号: 6526153
• 负责人: AMY M BARRIOS
• 金额: $ 4.1万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6526153
• 关键词: active sites; combinatorial chemistry; enzyme mechanism; enzyme structure; enzyme substrate complex; fluorescent dye /probe; peptide library; postdoctoral investigator; protease inhibitor; protein protein interaction; protein structure function; serine proteinases; synthetic peptide

The objective of the proposed research is to develop an understanding of the relationship between the substrate specificity of a serine protease and the active-site binding sequence of a potent inhibitor. Serine proteases are ubiquitous in biology and may play a role in a number of pathogenic states including thrombotic disorders, hypertension, osteoarthritis, chronic degenerative disorders and cancer. A combinatorial library of fluorogenic synthetic peptide substrates will be used to elucidate the preferred substrate sequence for a series of cancer-related serine proteases. From these studies, insights into the structural determinants of protease specificity will be obtained along with information about the biological targets of specific proteases. Potent inhibitors of individual proteases will be developed by combinatorially redesigning the active- site binding domain of the dimeric protease inhibitor ecotin using phage display technologies. A knowledge of the extended protein-protein interactions that are involved in substrate or inhibitor recognition will further our understanding of the structure-function relationship among proteases and their inhibitors. The in vivo functions of cancer-related serine proteases will begin to be elucidated and potent inhibitors with potential therapeutic value will be developed.

拟议的研究的目的是发展的丝氨酸蛋白酶的底物特异性和有效的抑制剂的活性位点结合序列之间的关系的理解。丝氨酸蛋白酶在生物学中是普遍存在的，并且可以在许多致病状态中起作用，包括血栓性疾病、高血压、骨关节炎、慢性退行性疾病和癌症。荧光合成肽底物的组合文库将用于阐明一系列癌症相关丝氨酸蛋白酶的优选底物序列。从这些研究中，洞察蛋白酶特异性的结构决定因素将获得沿着与特定蛋白酶的生物学靶标的信息。通过使用噬菌体展示技术组合地重新设计二聚体蛋白酶抑制剂ecotin的活性位点结合结构域，将开发单个蛋白酶的有效抑制剂。对底物或抑制剂识别中涉及的蛋白质-蛋白质相互作用的认识将进一步加深我们对蛋白酶及其抑制剂之间结构-功能关系的理解。癌症相关丝氨酸蛋白酶的体内功能将开始被阐明，并将开发具有潜在治疗价值的有效抑制剂。