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Updated: Jan 10, 2026

Sample Preparation using a Lipid Monolayer Method for Electron Crystallographic Studies
Published on: November 20, 2021
Dynamic interplay at the gates: All-Atom simulations reveal isoform-specific aquaporin 7 inhibition
Akshay Krishnamurthy Hegde1, Leona Alison Dsouza1, Mahender Kumar Singh2
1Department of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, 576104, India.
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.
Insights
Researchers identified novel inhibitors for Aquaporin-7 (AQP7) isoforms, crucial in breast cancer metabolism. A new ligand-induced gating mechanism was discovered, offering a potential therapeutic strategy for breast cancer treatment.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Chemistry
Background:
- Aquaporin-7 (AQP7) is vital for breast cancer metabolic reprogramming but challenging to target due to structural similarities among aquaporins.
- Lack of data on AQP7 splice variants hinders the development of specific inhibitors.
Purpose of the Study:
- To computationally decode the structural basis for AQP7 isoform inhibition.
- To identify isoform-specific inhibitors for therapeutic development.
Main Methods:
- Integrative computational strategy: homology modeling, AI-based structure prediction, high-throughput virtual screening, and all-atom molecular dynamics (MD) simulations.
- Characterization of five AQP7 isoforms to identify structural variations.
- Virtual screening of aquaporin-focused compound libraries.
Main Results:
- Identified five AQP7 isoforms with significant structural variations impacting pore function.
- Discovered two potent inhibitors: Z225008686 (pan-isoform) and Z1594872812 (isoform-specific).
- Revealed a novel ligand-induced gating mechanism in functional AQP7 isoforms, involving key residues and pore constriction.
Conclusions:
- Identified lead compounds and a new gating mechanism for AQP7 isoforms.
- Offers a transformative strategy for treating breast cancers dependent on glycerol metabolism.
- Findings require experimental validation for biological relevance.
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