Mario Astigarraga, Andrés Sánchez-Ruiz, Aminata Diop-Aw, Raquel Quintero, Gonzalo Colmenarejo
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引用次数: 0
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.
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.
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