Naslov
Affinity of Linear and Cyclic Peptides Towards Bivalent Cations

Autori
Modrušan, Matija ; Petrović Hađar, Emilija ; Glazer, Lucija ; Duvnjak, Mirko ; Vidović, Nikolina ; Cindro, Nikola ; Speranza, Giovanna ; Tomišić, Vladislav ; Horvat, Gordan

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
28HSKIKI : 28th Croatian Meeting of Chemists and Chemical Engineers and 6th Symposium Vladimir Prelog : Book of Abstracts / Rogošić, Marko - Zagreb : Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2023, 105-105

Skup
28th Croatian Meeting of Chemists and Chemical Engineers and 6th Symposium Vladimir Prelog

Mjesto i datum
Rovinj, Hrvatska, 28.03.2023. - 31.03.2023

Vrsta sudjelovanja
Poster

Vrsta recenzije
Domaća recenzija

Ključne riječi
Peptide complex ; stability constant ; fluorimetry ; NMR ; MD simulations

Sažetak
During the last few decades there has been a growing interest of studying cyclic peptides due to their metabolic stability and high bioavailability. These compounds also exhibit enhanced binding affinity and selectivity towards substrates compared to their more flexible linear analogs. The main problem in the synthesis of cyclic peptides is the conformational preorganization, that is the ability of a linear precursor to bring its reactive termini in the close spatial proximity. This reaction step, called macrocyclization step, requires template molecules amongst which the most usually used are cations and anions. Previous papers suggested cations binding to linear peptide to promote cyclization, but our recent work has shown that in the case of smaller peptides not cations but anions bind to linear and cyclic peptides and can induce macrocyclization. The larger hexapeptide shows high affinity towards bivalent cations and forms complexes of different stoichiometries. In this work, we determined stability constants of complexes of linear and cyclic phenylalanine derived peptides with bivalent cations using 1H NMR and fluorescence spectroscopy. In addition, we preformed MD simulations to get an insight into the structural characteristics of the complex species.

Izvorni jezik
Engleski

Znanstvena područja
Kemija

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