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

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.

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Journal
Journal of Chemical Information and Modeling
Published
2025-08-12
DOI
https://doi.org/10.1021/acs.jcim.5c00828
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Gonzalo Colmenarejo, Andrés Sánchez-Ruiz, Mario Astigarraga, Verónica López-Alejandre
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
article

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

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

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.

Journal of Chemical Information and ModelingVol. 65(16)
Madrid Institute for Advanced Studies (ES), Artificial Intelligence in Medicine (Canada) (CA), Universidad Autónoma de Madrid (ES)
Ministerio de Ciencia, Tecnología e Innovación Productiva, European Regional Development Fund
Zero hunger
Openalex Percentile: Top 78%
Computational Drug Discovery Methods
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