Aquaporins (AQPs) and aquaglyceroporins (AQGPs) play a crucial role in regulating water transport and solute selectivity across biological membranes. Besides their biological relevance, AQPs have attracted growing interest as models for the design of next-generation biomimetic membranes for water filtration. In this work, we present a pore-level Quantitative Structure-Activity Relationship (QSAR) approach that relates structural and physicochemical pore descriptors with experimentally reported water permeation rates across a set of AQ(G)Ps with high-resolution 3D structures. This data-driven methodology, presented here as a proof of concept, introduces a multi-feature framework for determining pore descriptors associated with water transport efficiency in AQ(G)Ps. Applied to two compiled permeation rate datasets, this framework recapitulates determinants previously reported in single-feature studies, while also highlighting additional pore descriptors that emerge as relevant in a multi-variable context. The insights gained through this approach may, in perspective, contribute to advancing the rational design of AQP-based filtration devices and to deepening the molecular understanding of the function of these valuable macromolecules in health and disease.

Pore-level quantitative structure-activity relationship (QSAR) for water permeation rate in aquaporins / Galano-Frutos, Juan José; Bergamasco, Luca; Vigo, Paolo; Morciano, Matteo; Fasano, Matteo; Pirolli, Davide; Chiavazzo, Eliodoro; De Rosa, Maria Cristina. - In: BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES. - ISSN 0005-2736. - 1868:3(2026). [10.1016/j.bbamem.2026.184529]

Pore-level quantitative structure-activity relationship (QSAR) for water permeation rate in aquaporins

Bergamasco, Luca;Vigo, Paolo;Morciano, Matteo;Fasano, Matteo;Chiavazzo, Eliodoro;
2026

Abstract

Aquaporins (AQPs) and aquaglyceroporins (AQGPs) play a crucial role in regulating water transport and solute selectivity across biological membranes. Besides their biological relevance, AQPs have attracted growing interest as models for the design of next-generation biomimetic membranes for water filtration. In this work, we present a pore-level Quantitative Structure-Activity Relationship (QSAR) approach that relates structural and physicochemical pore descriptors with experimentally reported water permeation rates across a set of AQ(G)Ps with high-resolution 3D structures. This data-driven methodology, presented here as a proof of concept, introduces a multi-feature framework for determining pore descriptors associated with water transport efficiency in AQ(G)Ps. Applied to two compiled permeation rate datasets, this framework recapitulates determinants previously reported in single-feature studies, while also highlighting additional pore descriptors that emerge as relevant in a multi-variable context. The insights gained through this approach may, in perspective, contribute to advancing the rational design of AQP-based filtration devices and to deepening the molecular understanding of the function of these valuable macromolecules in health and disease.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3009871