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从计算机模拟方法研究天然和合成 FFA4 激动剂的独特结合热点。

Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches.

机构信息

University of Lille, Inserm, CHU Lille, U1286 - INFINITE-Institute for Translational Research in Inflammation, F-59000, Lille, France.

U1231 Inserm, Equipe NuTox, AgroSup, Université de Bourgogne, Dijon, France.

出版信息

Mol Inform. 2024 Oct;43(10):e202400046. doi: 10.1002/minf.202400046. Epub 2024 Jul 24.

Abstract

FFA4 has gained interest in recent years since its deorphanization in 2005 and the characterization of the Free Fatty Acids receptors family for their therapeutic potential in metabolic disorders. The expression of FFA4 (also known as GPR120) in numerous organs throughout the human body makes this receptor a highly potent target, particularly in fat sensing and diet preference. This offers an attractive approach to tackle obesity and related metabolic diseases. Recent cryo-EM structures of the receptor have provided valuable information for a potential active state although the previous studies of FFA4 presented diverging information. We performed molecular docking and molecular dynamics simulations of four agonist ligands, TUG-891, Linoleic acid, α-Linolenic acid, and Oleic acid, based on a homology model. Our simulations, which accumulated a total of 2 μs of simulation, highlighted two binding hotspots at Arg99 and Lys293 (ECL3). The results indicate that the residues are located in separate areas of the binding pocket and interact with various types of ligands, implying different potential active states of FFA4 and a highly adaptable binding intra-receptor pocket. This article proposes additional structural characteristics and mechanisms for agonist binding that complement the experimental structures.

摘要

FFA4 自 2005 年去孤儿化以来,近年来引起了人们的兴趣,其游离脂肪酸受体家族的特征表明其在代谢紊乱的治疗潜力。FFA4(也称为 GPR120)在人体众多器官中的表达使该受体成为一个极具潜力的靶点,特别是在脂肪感应和饮食偏好方面。这为解决肥胖症和相关代谢性疾病提供了一种有吸引力的方法。尽管之前对 FFA4 的研究提供了相互矛盾的信息,但最近的受体冷冻电镜结构为潜在的活性状态提供了有价值的信息。我们基于同源模型对四种激动剂配体(TUG-891、亚油酸、α-亚麻酸和油酸)进行了分子对接和分子动力学模拟。我们的模拟总共积累了 2 μs 的模拟时间,突出了 Arg99 和 Lys293(ECL3)两个结合热点。结果表明,这些残基位于结合口袋的不同区域,并与各种类型的配体相互作用,这意味着 FFA4 具有不同的潜在活性状态和高度适应性的结合受体口袋。本文提出了激动剂结合的其他结构特征和机制,补充了实验结构。

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