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Refining the Na<sub>V</sub>1.7 pharmacophore of a class of venom-derived peptide inhibitors via a combination of in silico screening and rational engineering.


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 NaV1.7, a potential target for the treatment of chronic pain. In this study, we used a bioinformatic approach that can automatically identify NaV1.7 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 NaV1.7 inhibitor, μ-theraphotoxin Cg4a, which we produced recombinantly and confirmed as a NaV1.7 inhibitor. Using structural and mutagenesis studies, we propose an improved definition

SUBMITTER: Sharma G 

PROVIDER: S-EPMC12183627 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature