亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Quantitative profiling of protease specificity

蛋白酵素 蛋白酶 蛋白质水解 底物特异性 计算生物学 生物 丝氨酸蛋白酶 生物化学
作者
Boris I. Ratnikov,Piotr Cieplak,Albert G. Remacle,Elise Nguyen,Jeffrey W. Smith
出处
期刊:PLOS Computational Biology [Public Library of Science]
卷期号:17 (2): e1008101-e1008101 被引量:7
标识
DOI:10.1371/journal.pcbi.1008101
摘要

Proteases are an important class of enzymes, whose activity is central to many physiologic and pathologic processes. Detailed knowledge of protease specificity is key to understanding their function. Although many methods have been developed to profile specificities of proteases, few have the diversity and quantitative grasp necessary to fully define specificity of a protease, both in terms of substrate numbers and their catalytic efficiencies. We have developed a concept of “selectome”; the set of substrate amino acid sequences that uniquely represent the specificity of a protease. We applied it to two closely related members of the Matrixin family–MMP-2 and MMP-9 by using substrate phage display coupled with Next Generation Sequencing and information theory-based data analysis. We have also derived a quantitative measure of substrate specificity, which accounts for both the number of substrates and their relative catalytic efficiencies. Using these advances greatly facilitates elucidation of substrate selectivity between closely related members of a protease family. The study also provides insight into the degree to which the catalytic cleft defines substrate recognition, thus providing basis for overcoming two of the major challenges in the field of proteolysis: 1) development of highly selective activity probes for studying proteases with overlapping specificities, and 2) distinguishing targeted proteolysis from bystander proteolytic events.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
不可思宇完成签到,获得积分10
9秒前
13秒前
14秒前
14秒前
14秒前
传奇3应助科研通管家采纳,获得10
14秒前
16秒前
霸气灵松完成签到,获得积分10
17秒前
科目三应助忐忑的棉花糖采纳,获得10
22秒前
28秒前
33秒前
33秒前
kkx发布了新的文献求助10
35秒前
37秒前
霸气灵松发布了新的文献求助10
38秒前
38秒前
38秒前
科研小趴菜完成签到 ,获得积分10
41秒前
1分钟前
1分钟前
1分钟前
韩乐瑶发布了新的文献求助10
1分钟前
英姑应助小鱼采纳,获得10
1分钟前
1分钟前
慕青应助舒心的寻琴采纳,获得20
1分钟前
li完成签到,获得积分10
1分钟前
小鱼发布了新的文献求助10
1分钟前
1分钟前
1分钟前
桐夜完成签到 ,获得积分10
1分钟前
小鱼发布了新的文献求助10
1分钟前
1分钟前
调皮摇伽完成签到 ,获得积分10
1分钟前
怕孤独的若云完成签到,获得积分10
2分钟前
2分钟前
2分钟前
这个论文非写不可完成签到,获得积分10
2分钟前
2分钟前
舒心的寻琴完成签到,获得积分10
2分钟前
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6027722
求助须知:如何正确求助?哪些是违规求助? 7679967
关于积分的说明 16185707
捐赠科研通 5175149
什么是DOI,文献DOI怎么找? 2769265
邀请新用户注册赠送积分活动 1752657
关于科研通互助平台的介绍 1638439