Understanding the adsorption mechanism of geosmin, linalool, and o-cresol on Machilis hrabei olfactory receptor MhOR5 via statistical physics modeling and molecular docking simulation

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ismahene Ben Khemis, Salah Knani, Fatma Aouaini, Ghadeer Mohsen Albadrani, Amani Alruwaili, Abdelmottaleb Ben Lamine
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引用次数: 0

Abstract

Context

This article suggests that the olfaction process can be simplified to an adsorption mechanism by utilizing the Machilis hrabei olfactory receptor MhOR5 as a biological adsorbent. The odorant molecules such as geosmin, linalool, and o-cresol were used as adsorbates. The aim of the present study is to provide new insights into the docking process of the tested odorants on MhOR5 using numerical simulation via an advanced statistical physics model to fit the corresponding response curves.

Methods

In the present work, an advanced theory based on statistical physics formalism is applied to understand and analyze the experimental dose-olfactory response curves of three odorant molecules on the Machilis hrabei olfactory receptor. Indeed, a monolayer model with four energy levels developed using the grand canonical ensemble was successfully applied to analyze the adsorption mechanism of geosmin, linalool, and o-cresol on MhOR5 through the interpretation of the different fitted parameters. Stereographically, it was found that geosmin, linalool, and o-cresol molecules were docked on MhOR5 binding pockets with nonparallel orientations (multi-molecular process) since all the numbers of the studied odorants adsorbed on one binding pocket were superior to 1. Energetically, the values of the molar adsorption energies ΔEi (i = 1, 2, 3, and 4) related to the four types of binding pockets (varied between 6.18 and 18.43 kJ/mol) demonstrated that the three odorants were exothermically and physically docked on MhOR5 since all values of ΔEi were positive and inferior to 40 kJ/mol. The proposed model may also be applied to calculate and interpret two thermodynamic potentials: the internal energy Eint and adsorption entropy Sa. Additionally, the physicochemical parameters may be used to stereographically and energetically characterize the heterogeneity of the insect MhOR5 surface. The docking simulation results demonstrated that the estimated binding affinities or energy score values (varied between 6.27 and 18.40 kJ/mol) were slightly similar to molar adsorption energy values and were included in the adsorption energy bands of the three adsorption energy distributions (AEDs).

Abstract Image

通过统计物理建模和分子对接模拟,了解土臭素、芳樟醇和邻甲酚在麻菜嗅觉受体MhOR5上的吸附机理
本文认为,利用木栗嗅觉受体MhOR5作为生物吸附剂,可以将嗅觉过程简化为一种吸附机制。用土臭素、芳樟醇、邻甲酚等气味分子作为吸附剂。本研究的目的是通过先进的统计物理模型拟合相应的响应曲线,采用数值模拟的方法对所测气味剂在MhOR5上的对接过程提供新的见解。方法应用基于统计物理形式主义的先进理论,理解和分析三种气味分子对麻黄嗅觉受体的实验剂量-嗅觉响应曲线。事实上,通过对不同拟合参数的解释,利用大正则系综建立的四能级单层模型成功地分析了土臭素、芳樟醇和邻甲酚在MhOR5上的吸附机理。立体观察发现,土臭素、芳樟醇和邻甲酚分子以非平行方向停靠在MhOR5结合口袋上(多分子过程),因为所研究的气味剂在一个结合口袋上吸附的数量都大于1。在能量上,与四种结合袋相关的摩尔吸附能ΔEi (i = 1,2,3和4)值(变化范围在6.18和18.43 kJ/mol之间)表明,由于ΔEi值均为正且低于40 kJ/mol,因此三种气味剂在MhOR5上进行了放热和物理对接。该模型还可用于计算和解释两个热力学势:内能Eint和吸附熵Sa。此外,物理化学参数可以用来立体和能量表征昆虫MhOR5表面的非均质性。对接模拟结果表明,估算的结合亲和值或能量评分值(变化范围在6.27 ~ 18.40 kJ/mol之间)与摩尔吸附能值略有相似,并包含在3种吸附能分布(aed)的吸附能带中。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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