Suppr超能文献

变构突变如何控制脂质运载蛋白中的配体结合:以气味结合蛋白为例进行研究

How allosteric mutations control ligand binding in Lipocalin protein: odorant binding protein as a test case.

作者信息

Lalis Maxence, Moitrier Lucie, Jäger Miriam, Meinert Cornelia, Brulé Marine, Belloir Christine, Jones Nykola C, Hoffmann Søren V, Fiorucci Sébastien, Wolf Steffen, Briand Loïc, Topin Jérémie

机构信息

Institut de Chimie de Nice UMR7272, Université Côte d'Azur, CNRS, 28 Avenue Valrose, Nice, 06108, France.

Centre des Sciences du Goût et de l'Alimentation, Institut Agro, CNRS, INRAE, Université de Bourgogne, Dijon, F-21000, France.

出版信息

Cell Mol Life Sci. 2025 Jun 23;82(1):250. doi: 10.1007/s00018-025-05777-8.

Abstract

Lipocalins are a family of proteins found in mammals that are essential for the binding and transport of various molecules, but the mechanisms underlying their target recognition are still unclear. To answer this question, we studied odorant-binding proteins (OBPs), a specific type of lipocalin involved in chemical communication and olfaction. Using an integrative approach combining numerical modelling and experimental validation, we identified key structural regions that regulate the entry of molecules into the binding pocket. Modification of these regions disrupts molecular recognition, highlighting their importance for function. In addition, we found that changes in distant parts of the protein influence binding, shedding light on allosteric mechanisms. These results advance our understanding of lipocalin function and open up avenues for the design of proteins with targeted binding properties.

摘要

脂质运载蛋白是一类在哺乳动物体内发现的蛋白质,它们对于各种分子的结合和运输至关重要,但其目标识别的潜在机制仍不清楚。为了回答这个问题,我们研究了气味结合蛋白(OBP),这是一种参与化学通讯和嗅觉的特定类型的脂质运载蛋白。通过结合数值建模和实验验证的综合方法,我们确定了调节分子进入结合口袋的关键结构区域。对这些区域的修饰会破坏分子识别,突出了它们对功能的重要性。此外,我们发现蛋白质远端部分的变化会影响结合,这为变构机制提供了线索。这些结果推进了我们对脂质运载蛋白功能的理解,并为设计具有靶向结合特性的蛋白质开辟了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3419/12185845/26fef63d77a9/18_2025_5777_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验