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基质金属蛋白酶——从切割数据到预测工具及其他。

Matrix metalloproteinases - From the cleavage data to the prediction tools and beyond.

机构信息

Cancer Research Center, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.

出版信息

Biochim Biophys Acta Mol Cell Res. 2017 Nov;1864(11 Pt A):1952-1963. doi: 10.1016/j.bbamcr.2017.03.010. Epub 2017 Mar 24.

Abstract

Understanding the physiological role of any protease requires identification of both its cleavage substrates and their relative cleavage efficacy as compared with other substrates and other proteinases. Our review manuscript is focused on the cleavage preferences of the individual matrix metalloproteinases (MMPs) and the cleavage similarity and distinction that exist in the human MMP family. The recent in-depth analysis of MMPs by us and many others greatly increased knowledge of the MMP biology and structural-functional relationships among this protease family members. A better knowledge of cleavage preferences of MMPs has led us to the development of the prediction tools that are now capable of the high throughput reliable prediction and ranking the MMP cleavage sites in the peptide sequences in silico. Our software unifies and consolidates volumes of the pre-existing data. Now this prediction-ranking in silico tool is ready to be used by others. The software we developed may facilitate both the identification of the novel proteolytic regulatory pathways and the discovery of the previously uncharacterized substrates of the individual MMPs. Because now the MMP research may be based on the mathematical probability parameters rather than on either random luck or common sense alone, the researchers armed with this novel in silico tool will be better equipped to fine-tune or, at least, to sharply focus their wet chemistry experiments. This article is part of a Special Issue entitled: Matrix Metalloproteinases edited by Rafael Fridman.

摘要

理解任何蛋白酶的生理作用都需要确定其切割底物,以及与其他底物和其他蛋白酶相比的相对切割效率。我们的综述文章主要集中在个别基质金属蛋白酶(MMPs)的切割偏好,以及人类 MMP 家族中存在的切割相似性和区别。我们和许多其他人最近对 MMPs 的深入分析极大地增加了对 MMP 生物学和该蛋白酶家族成员之间结构-功能关系的了解。对 MMP 切割偏好的更好了解使我们能够开发出预测工具,这些工具现在能够在计算机上可靠地预测和对肽序列中的 MMP 切割位点进行高通量排序。我们的软件将大量现有的数据统一和整合在一起。现在,这个预测-排序的计算机工具已经准备好供其他人使用。我们开发的软件可以促进新的蛋白水解调节途径的识别和个体 MMP 以前未表征的底物的发现。因为现在 MMP 研究可以基于数学概率参数,而不是仅凭随机运气或常识,因此拥有这个新的计算机工具的研究人员将能够更好地调整或至少更集中地进行湿化学实验。本文是题为“基质金属蛋白酶”的特刊的一部分,由 Rafael Fridman 编辑。

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