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Bacterial protease uses distinct thermodynamic signatures for substrate recognition

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タイトル: Bacterial protease uses distinct thermodynamic signatures for substrate recognition
著者: Bezerra, Gustavo Arruda / Ohara-Nemoto, Yuko / Cornaciu, Irina / Fedosyuk, Sofiya / Hoffmann, Guillaume / Round, Adam / Márquez, José A. / Nemoto, Takayuki K. / Djinović-Carugo, Kristina
発行日: 2017年 6月 6日
出版者: Macmillan Publishers Limited
引用: Scientific Reports, 7, 2848; 2017
抄録: Porphyromonas gingivalis and Porphyromonas endodontalis are important bacteria related to periodontitis, the most common chronic inflammatory disease in humans worldwide. Its comorbidity with systemic diseases, such as type 2 diabetes, oral cancers and cardiovascular diseases, continues to generate considerable interest. Surprisingly, these two microorganisms do not ferment carbohydrates; rather they use proteinaceous substrates as carbon and energy sources. However, the underlying biochemical mechanisms of their energy metabolism remain unknown. Here, we show that dipeptidyl peptidase 11 (DPP11), a central metabolic enzyme in these bacteria, undergoes a conformational change upon peptide binding to distinguish substrates from end products. It binds substrates through an entropy-driven process and end products in an enthalpy-driven fashion. We show that increase in protein conformational entropy is the main-driving force for substrate binding via the unfolding of specific regions of the enzyme (“entropy reservoirs”). The relationship between our structural and thermodynamics data yields a distinct model for protein-protein interactions where protein conformational entropy modulates the binding free-energy. Further, our findings provide a framework for the structure-based design of specific DPP11 inhibitors.
URI: http://hdl.handle.net/10069/37551
DOI: 10.1038/s41598-017-03220-y
権利: © The Author(s) 2017 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
資料タイプ: Journal Article
原稿種類: publisher
出現コレクション:040 学術雑誌論文

引用URI : http://hdl.handle.net/10069/37551



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