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首页> 外文期刊>Biochimica et biophysica acta. Molecular cell research >Matrix metalloproteinases - From the cleavage data to the prediction tools and beyond
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Matrix metalloproteinases - From the cleavage data to the prediction tools and beyond

机译:基质金属蛋白酶 - 从切割数据到预测工具及更远

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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 silica. Our software unifies and consolidates volumes of the pre-existing data. Now this prediction-ranking in silica 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.
机译:理解任何蛋白酶的生理作用需要鉴定其裂解底物和与其他底物和其他蛋白酶相比的相对裂解效果。我们的审核手稿专注于人体MMP家族中存在个体基质金属蛋白酶(MMP)的切割偏好和存在的裂解相似性和区分。美国和许多人对MMP的最近深入分析大大增加了该蛋白酶家庭成员中MMP生物学和结构官能关系的知识。更好地了解MMP的裂解偏好使我们能够开发现在能够高吞吐量可靠预测的预测工具,并在二氧化硅中排序肽序列中的MMP切割位点。我们的软件统一并整合预先存在的数据卷。现在,二氧化硅工具中的这种预测排名已准备好被他人使用。我们开发的软件可以促进新型蛋白水解调节途径的鉴定和发现个体MMP的先前无特征基底的发现。因为现在MMP研究可以基于数学概率参数而不是单独的随机运气或常识,所以在Silico工具中武装的研究人员将更好地配备到微调或至少急剧焦点湿化学实验。本文是标题的特殊问题的一部分:Rafael Fridman编辑的基质金属蛋白酶。

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