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Dynamic interplay at the gates: All-Atom simulations reveal isoform-specific aquaporin 7 inhibition

  • Akshay Krishnamurthy Hegde
  • , Leona Alison Dsouza
  • , Mahender Kumar Singh
  • , Sanghamitra Pati
  • , Budheswar Dehury*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Aquaporin-7 (AQP7), a key glycerol channel involved in the metabolic reprogramming of breast cancer, is a promising but challenging therapeutic target. The high structural conservation among aquaporins and a lack of data on its splice variants have hindered the development of isoform-specific inhibitors. To address this, we deployed an integrative computational strategy combining homology modelling, AI-based structure predictions, high-throughput virtual screening, and all-atom molecular dynamics (MD) simulations to decode the structural basis for AQP7 isoform inhibition. We characterized five AQP7 isoforms, revealing >90 % sequence similarity but critical structural variations that impact draggability. While some isoforms retained a complete, stable pore architecture, others were truncated and non-functional. Virtual screening of specialized aquaporin-focused libraries from Enamine and Life Chemicals identified two potent inhibitors i.e., Z225008686 demonstrates pan-isoform efficacy, and Z1594872812 displays isoform-specific binding. MD simulations revealed that Z225008686 induces exceptional pore constriction (<1.7 Å) through stable interactions with key residues viz., Gln183, Asn94, Phe74, and Val97, reducing water flux by ∼40 %. Free energy decomposition identified Arg106 and Phe74 as critical binding anchors. Notably, we uncovered a novel, ligand-induced gating mechanism in functional isoforms, where dynamic interactions with Phe74, Arg106, and Gln183 narrow the pore—presenting a new pharmacologically targetable checkpoint. This gating efficiency is governed by a precise balance between conformational flexibility and structural stability. Collectively, our study identifies specific lead compounds and reveals a new gating mechanism in isoforms of AQP7, offering a transformative strategy for treating breast cancers reliant on glycerol metabolism. Our current findings are based on computational predictions and need further experimental validation to confirm their biological relevance.

Original languageEnglish
Article number111336
JournalComputers in Biology and Medicine
Volume199
DOIs
Publication statusPublished - 12-2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Science Applications

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