6vnz Citations

Novel Blocker of Onco SK3 Channels Derived from Scorpion Toxin Tamapin and Active against Migration of Cancer Cells.

Abstract

Peptide-based therapy against cancer is a field of great interest for biomedical developments. Since it was shown that SK3 channels promote cancer cell migration and metastatic development, we started using these channels as targets for the development of antimetastatic drugs. Particularly, tamapin (a peptide found in the venom of the scorpion Mesobuthus tamulus) is the most specific toxin against the SK2 channel currently known. Considering this fact, we designed diverse tamapin mutants based on three different hypotheses to discover a new potent molecule to block SK3 channels. We performed in vitro studies to evaluate this new toxin derivative inhibitor of cancer cell migration. Our results can be used to generate a new tamapin-based therapy against cancer cells that express SK3 channels.

Articles - 6vnz mentioned but not cited (1)

  1. Novel Blocker of Onco SK3 Channels Derived from Scorpion Toxin Tamapin and Active against Migration of Cancer Cells. Mayorga-Flores M, Chantôme A, Melchor-Meneses CM, Domingo I, Titaux-Delgado GA, Galindo-Murillo R, Vandier C, Del Río-Portilla F. ACS Med Chem Lett 11 1627-1633 (2020)


Reviews citing this publication (2)

  1. Modifications of Plasma Membrane Organization in Cancer Cells for Targeted Therapy. Choromańska A, Chwiłkowska A, Kulbacka J, Baczyńska D, Rembiałkowska N, Szewczyk A, Michel O, Gajewska-Naryniecka A, Przystupski D, Saczko J. Molecules 26 1850 (2021)
  2. Toxic proteins application in cancer therapy. Setayesh-Mehr Z, Poorsargol M. Mol Biol Rep 48 3827-3840 (2021)

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  1. An Information-Theory-Based Approach for Optimal Model Reduction of Biomolecules. Giulini M, Menichetti R, Shell MS, Potestio R. J Chem Theory Comput 16 6795-6813 (2020)
  2. Potassium channel-driven bioelectric signalling regulates metastasis in triple-negative breast cancer. Payne SL, Ram P, Srinivasan DH, Le TT, Levin M, Oudin MJ. EBioMedicine 75 103767 (2022)
  3. A Deep Graph Network-Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of Proteins. Errica F, Giulini M, Bacciu D, Menichetti R, Micheli A, Potestio R. Front Mol Biosci 8 637396 (2021)