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Detalle de: DD04107-Derived neuronal exocytosis inhibitor peptides: Evidences for synaptotagmin-1 as a putative target

Title DD04107-Derived neuronal exocytosis inhibitor peptides: Evidences for synaptotagmin-1 as a putative target
Abstract

The analgesic peptide DD04107 (Pal-EEMQRR-NH 2 ) and its acetylated analogue inhibit α-calcitonin gene-related peptide (α-CGRP) exocytotic release from primary sensory neurons. Examining the crystal structure of the SNARE-Synaptotagmin-1(Syt1) complex, we hypothesized that these peptides could inhibit neuronal exocytosis by binding to Syt1, hampering at least partially its interaction with the SNARE complex. To address this hypothesis, we first interrogate the role of individual side-chains on the inhibition of α-CGRP release, finding that E1, M3, Q4 and R6 residues were crucial for activity. CD and NMR conformational analysis showed that linear peptides have tendency to adopt α-helical conformations, but the results with cyclic analogues indicated that this secondary structure is not needed for activity. Isothermal titration calorimetry (ITC) measurements demonstrate a direct interaction of some of these peptides with Syt1-C2B domain, but not with Syt7-C2B region, indicating selectivity. As expected for a compound able to inhibit α-CGRP release, cyclic peptide derivative Pal-E-cyclo[EMQK]R-NH 2 showed potent in vivo analgesic activity, in a model of inflammatory pain. Molecular dynamics simulations provided a model consistent with K D values for the interaction of peptides with Syt1-C2B domain, and with their biological activity. Altogether, these results identify Syt1 as a potential new analgesic target.

Apa Reference Butrón, D., Zamora-Carreras, H., Devesa, I., Treviño, M.A., Abian, O., Velázquez-Campoy, A., Bonache, M.Á., Lagartera, L., Martín-Martínez, M., González-Rodríguez, S., Baamonde, A., Fernández-Carvajal, A., Ferrer-Montiel, A., Jiménez, M.Á. & González-Muñiz, R. (2021). DD04107-Derived neuronal exocytosis inhibitor peptides: Evidences for synaptotagmin-1 as a putative target. Bioorganic Chemistry, 115, 105231. 10.1016/j.bioorg.2021.105231
Doi 10.1016/j.bioorg.2021.105231
Publication Date Oct 2021
Publication Type Article
Researcher Mercedes Martín Martínez
Ontology Structural bioinformatics, Experimental structure determination, Molecular flexibility, Computational models and simulations, Biomolecular simulation, Drug Discovery and design
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