Refining the <scp> Na <sub>V</sub> 1 </scp> .7 pharmacophore of a class of venom‐derived peptide inhibitors <i>via</i> a combination of <i>in silico</i> screening and rational engineering

Ion channels are among the main targets of venom peptides. Extensive functional screening has identified a number of these peptides as modulators of the voltage-gated sodium channel subtype Na<sub>V</sub>1.7, a potential target for the treatment of chronic pain. In this study, we used a bioinformatic approach that can automatically identify Na<sub>V</sub>1.7 gating modifier toxins from sequence information alone. The method further enables the incorporation of evolutionarily accessible sequence space in structure-activity relationship studies. The in silico method identified a putative Na<sub>V</sub>1.7 inhibitor, μ-theraphotoxin Cg4a, which we produced recombinantly and confirmed as a Na<sub>V</sub>1.7 inhibitor. Using structural and mutagenesis studies, we propose an improved definition of the pharmacophore of this class of Na<sub>V</sub>1.7 inhibitors, aiding future in silico screening and classification of Na<sub>V</sub>1.7 inhibitors.

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Publication Details

Journal
FEBS Letters
Published
2025-03-29
DOI
https://doi.org/10.1002/1873-3468.70036
Primary Topic
Nicotinic Acetylcholine Receptors Study
Type
article
Field-Weighted Citation Impact
0.00

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article

Refining the Na V 1 .7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

Irina Vetter, Theo Crawford, Eivind A. B. Undheim, Mehdi Mobli et al.
FEBS Letters
Nicotinic Acetylcholine Receptors Study
article

Refining the Na V 1 .7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

Irina Vetter, Theo Crawford, Eivind A. B. Undheim, Mehdi Mobli, Sassan Rahnama, Gagan Sharma, Jennifer R. Deuis, Xinying Jia, Yanni K. ‐Y. Chin
article en

Abstract

Ion channels are among the main targets of venom peptides. Extensive functional screening has identified a number of these peptides as modulators of the voltage-gated sodium channel subtype Na<sub>V</sub>1.7, a potential target for the treatment of chronic pain. In this study, we used a bioinformatic approach that can automatically identify Na<sub>V</sub>1.7 gating modifier toxins from sequence information alone. The method further enables the incorporation of evolutionarily accessible sequence space in structure-activity relationship studies. The in silico method identified a putative Na<sub>V</sub>1.7 inhibitor, μ-theraphotoxin Cg4a, which we produced recombinantly and confirmed as a Na<sub>V</sub>1.7 inhibitor. Using structural and mutagenesis studies, we propose an improved definition of the pharmacophore of this class of Na<sub>V</sub>1.7 inhibitors, aiding future in silico screening and classification of Na<sub>V</sub>1.7 inhibitors.

FEBS LettersVol. 599(12)
The University of Queensland (AU), National University of Singapore (SG), University of Oslo (NO)
University of Queensland, Australian Research Council
Good health and well-being
Openalex Percentile: Top 94%
Nicotinic Acetylcholine Receptors Study
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Refining the <scp> Na <sub>V</sub> 1 </scp> .7 pharmacophore of a class of venom‐derived peptide inhibitors <i>via</i> a combination of <i>in silico</i> screening and rational engineering — Irina Vetter, Theo Crawford, et al. · FEBS Letters (2025) | TGRS Research Map | TGRS