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食物化合物如何与它们的蛋白质靶点相互作用?蛋白质结合的替代模式。

How Do Food Compounds Interact with Their Protein Targets? Alternative Modes for Protein Binding.

作者信息

Astigarraga Mario, López-Alejandre Verónica, Sánchez-Ruiz Andrés, Colmenarejo Gonzalo

机构信息

Cheminformatics & Artificial Intelligence Group, IMDEA Food, CEI UAM+CSIC, Madrid E28049, Spain.

出版信息

J Chem Inf Model. 2025 Aug 25;65(16):8702-8719. doi: 10.1021/acs.jcim.5c00828. Epub 2025 Aug 12.

Abstract

A large body of research is oriented toward the determination of the mechanism of action of food compounds at the molecular level in order to rationalize the important role of these molecules in health and as a source of new drugs. In this work, we perform a systematic analysis of all the food-protein complexes at atomic resolution present in the Protein Data Bank. We analyze both the interaction types used in their binding as well as the functional groups involved in these; from the protein side, we also analyze the partner amino acid types and their interaction types, as well as the corresponding protein classes. For the analysis, food compounds are divided into a set of molecules derived from fatty lipids (FoodFL, which includes glycerolipids, glycerophospholipids, and fatty acyls) and the rest of the molecules (FoodnoFL), since these correspond to highly dissimilar chemical spaces. As a control, a set of drugs is used. From this analysis, it is found that the three compound sets establish protein-ligand complexes through alternative binding modes. Thus, although the most dominant interaction in the three sets is the hydrophobic one, each compound set displays some characteristic interaction types compared with the others. FoodnoFL compounds have a characteristically high content of hydrogen bonds, salt bridges, cation-π interactions, and metal coordinations, while FoodFL compounds have characteristically high hydrophobic interactions. In turn, drugs stem for their characteristically high π-π, cation-π, and halogen bond interactions. These differences result from differences in the types and relative abundances of functional groups, differential usage of interaction types by the same functional groups, and differential usage of interaction types by the partner amino acids. This new knowledge can be exploited in the design of new drugs inspired by food compounds.

摘要

大量研究致力于在分子水平上确定食品化合物的作用机制,以便阐明这些分子在健康方面的重要作用以及作为新药来源的重要性。在这项工作中,我们对蛋白质数据库中存在的所有原子分辨率的食品 - 蛋白质复合物进行了系统分析。我们分析了它们结合中使用的相互作用类型以及其中涉及的官能团;从蛋白质方面,我们还分析了伴侣氨基酸类型及其相互作用类型,以及相应的蛋白质类别。为了进行分析,食品化合物被分为一组源自脂肪脂质的分子(FoodFL,包括甘油olipids、甘油磷脂和脂肪酰基)和其余分子(FoodnoFL),因为这些对应于高度不同的化学空间。作为对照,使用了一组药物。通过该分析发现,这三组化合物通过不同的结合模式建立蛋白质 - 配体复合物。因此,尽管三组中最主要的相互作用是疏水相互作用,但与其他组相比,每组化合物都显示出一些特征性的相互作用类型。FoodnoFL化合物具有氢键、盐桥、阳离子 - π相互作用和金属配位的特征性高含量,而FoodFL化合物具有特征性高的疏水相互作用。反过来,药物具有其特征性高的π - π、阳离子 - π和卤键相互作用。这些差异源于官能团类型和相对丰度的差异、相同官能团对相互作用类型的不同使用以及伴侣氨基酸对相互作用类型的不同使用。这些新知识可用于受食品化合物启发的新药设计。

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