Decoding Channel Pore Dynamics Mechanism in Anopheles gambiae Orco Homotetramer

Abstract Motivation Insect odorant receptors (iORs) essential for olfaction function as 7-transmembrane-domain (7TM) ion channels. iORs form tetrameric complexes that include a highly conserved odorant receptor co-receptor (Orco). Functional Orco homotetramers have also known to form ex vivo. Blocking Orco ex vivo and in vivo disrupts olfactory signaling, making it a promising target for functional intervention. Understanding its gating behavior is critical for developing strategies to disrupt odor-guided behaviors in disease-vector insects. Thus, insights into the dynamic gating of the Anopheles gambiae Orco have implications on the rational design of vector-control strategies against malaria. We studied molecular dynamics (MD) simulations on homotetrameric AgamOrco models generated using template-based modelling (TBM) and AlphaFold3 (AF3), to investigate ligand-dependent pore dynamics. Agonist and antagonist bound systems were analysed to understand the ligand-dependent gating. Results Our results show that apo and antagonistic IPC-bound AgamOrco homotetramer models remain in a stable, closed, and non-conductive state across both models. TBM, but not AF3, successfully captures agonistic VUAA1-induced activation, consistent with experimental observations, exhibiting asymmetric pore widening and conformational changes. Antagonist displacement simulations confirm IPC-mediated pore closure. Overall, the TBM AgamOrco model provides a reliable framework for structure-guided discovery of novel agents for control of insect pests and vector diseases.

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Publication Details

Journal
Bioinformatics Advances
Published
2026-10-05
DOI
https://doi.org/10.1093/bioadv/vbag295
Primary Topic
Receptor Mechanisms and Signaling
Type
article
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article

Decoding Channel Pore Dynamics Mechanism in Anopheles gambiae Orco Homotetramer

Kostas Iatrou, Amara Jabeen, Georgia Kythreoti, Shoba Ranganathan et al.
Bioinformatics Advances
Receptor Mechanisms and Signaling
article

Decoding Channel Pore Dynamics Mechanism in Anopheles gambiae Orco Homotetramer

Kostas Iatrou, Amara Jabeen, Georgia Kythreoti, Shoba Ranganathan, Vaanathi Chidambara Thanu, Philip W. Taylor, Spyros E. Zographos
article en

Abstract

Abstract Motivation Insect odorant receptors (iORs) essential for olfaction function as 7-transmembrane-domain (7TM) ion channels. iORs form tetrameric complexes that include a highly conserved odorant receptor co-receptor (Orco). Functional Orco homotetramers have also known to form ex vivo. Blocking Orco ex vivo and in vivo disrupts olfactory signaling, making it a promising target for functional intervention. Understanding its gating behavior is critical for developing strategies to disrupt odor-guided behaviors in disease-vector insects. Thus, insights into the dynamic gating of the Anopheles gambiae Orco have implications on the rational design of vector-control strategies against malaria. We studied molecular dynamics (MD) simulations on homotetrameric AgamOrco models generated using template-based modelling (TBM) and AlphaFold3 (AF3), to investigate ligand-dependent pore dynamics. Agonist and antagonist bound systems were analysed to understand the ligand-dependent gating. Results Our results show that apo and antagonistic IPC-bound AgamOrco homotetramer models remain in a stable, closed, and non-conductive state across both models. TBM, but not AF3, successfully captures agonistic VUAA1-induced activation, consistent with experimental observations, exhibiting asymmetric pore widening and conformational changes. Antagonist displacement simulations confirm IPC-mediated pore closure. Overall, the TBM AgamOrco model provides a reliable framework for structure-guided discovery of novel agents for control of insect pests and vector diseases.

Bioinformatics Advances
National Centre of Scientific Research "Demokritos" (GR), The American College of Greece (GR), National Hellenic Research Foundation (GR), Macquarie University (AU)
Openalex Percentile: Top 21%
Receptor Mechanisms and Signaling
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