How Do Microbial Metabolites Interact with Their Protein Targets?

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-01-13 Epub Date: 2025-01-01 DOI:10.1021/acs.jcim.4c01875
Mario Astigarraga, Andrés Sánchez-Ruiz, Aminata Diop-Aw, Raquel Quintero, Gonzalo Colmenarejo
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Abstract

The design of drugs and nutraceutics that mimic microbial metabolites is an emerging drug modality in medicinal chemistry that attempts to modulate the myriad of interactions that these molecules establish with host and microbial proteins. Understanding how microbial metabolites interact with their target proteins is key to perform a rational design of metabolite mimetic molecules for therapeutic usage. In the present work, we address this question by analyzing the functional groups of these molecules and the interactions they display in a set of more than 71K protein-metabolite interactions from the PDB. Significant differences in the functional group distributions, their chemical features, and their co-occurrences are observed for distinct subsets of these molecules. The same is true for the distributions of interaction types. By correlating both data sets, we are able to explain the observed interaction patterns in terms of observed functional group patterns. These results will shed light on the rational design of novel metabolite mimetic molecules for therapeutic purposes.

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微生物代谢物如何与其蛋白靶点相互作用?
模拟微生物代谢产物的药物和营养品的设计是药物化学中一种新兴的药物模式,它试图调节这些分子与宿主和微生物蛋白质建立的无数相互作用。了解微生物代谢物如何与其靶蛋白相互作用是合理设计用于治疗用途的代谢物模拟分子的关键。在目前的工作中,我们通过分析这些分子的官能团以及它们在一组来自PDB的超过71K蛋白质代谢物相互作用中显示的相互作用来解决这个问题。这些分子的不同亚群在官能团分布、化学特征和共现现象上存在显著差异。交互类型的分布也是如此。通过关联两个数据集,我们能够根据观察到的功能组模式来解释观察到的交互模式。这些结果将为合理设计用于治疗目的的新型代谢物模拟分子提供启示。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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