Suppr超能文献

蛋白质-蛋白质相互作用可以通过卷曲螺旋共同进化模式来预测。

Protein-protein interactions can be predicted using coiled coil co-evolution patterns.

作者信息

Mier Pablo, Alanis-Lobato Gregorio, Andrade-Navarro Miguel A

机构信息

Faculty of Biology, Johannes Gutenberg University Mainz, Gresemundweg 2, 55128 Mainz, Germany; Institute of Molecular Biology, Ackermannweg 4, 55128 Mainz, Germany.

出版信息

J Theor Biol. 2017 Jan 7;412:198-203. doi: 10.1016/j.jtbi.2016.11.001. Epub 2016 Nov 7.

Abstract

Protein-protein interactions are sometimes mediated by coiled coil structures. The evolutionary conservation of interacting orthologs in different species, along with the presence or absence of coiled coils in them, may help in the prediction of interacting pairs. Here, we illustrate how the presence of coiled coils in a protein can be exploited as a potential indicator for its interaction with another protein with coiled coils. The prediction capability of our strategy improves when restricting our dataset to highly reliable, known protein-protein interactions. Our study of the co-evolution of coiled coils demonstrates that pairs of interacting proteins can be distinguished from not interacting pairs by means of their structural information. This hints at the potential of our strategy to predict new protein-protein interactions.

摘要

蛋白质-蛋白质相互作用有时由卷曲螺旋结构介导。不同物种中相互作用的直系同源物的进化保守性,以及其中卷曲螺旋的存在与否,可能有助于预测相互作用对。在这里,我们说明了蛋白质中卷曲螺旋的存在如何被用作其与另一种具有卷曲螺旋的蛋白质相互作用的潜在指标。当将我们的数据集限制为高度可靠的已知蛋白质-蛋白质相互作用时,我们策略的预测能力会提高。我们对卷曲螺旋共同进化的研究表明,相互作用的蛋白质对可以通过其结构信息与非相互作用对区分开来。这暗示了我们的策略在预测新的蛋白质-蛋白质相互作用方面的潜力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验