The Influence of Disulfide, Thioacetal and Lanthionine-Bridges on the Conformation of a Macrocyclic PeptideShow others and affiliations
2024 (English)In: Chemistry - A European Journal, ISSN 0947-6539, E-ISSN 1521-3765, Vol. 30, no 50Article in journal (Refereed) Published
Abstract [en]
Cyclisation of peptides by forming thioether (lanthionine), disulfide (cystine) or methylene thioacetal bridges between side chains is established as an important tool to stabilise a given structure, enhance metabolic stability and optimise both potency and selectivity. However, a systematic comparative study of the effects of differing bridging modalities on peptide conformation has not previously been carried out. In this paper, we have used the NMR deconvolution algorithm, NAMFIS, to determine the conformational ensembles, in aqueous solution, of three cyclic analogues of angiotensin(1-7), incorporating either disulfide, or non-reducible thioether or methylene thioacetal bridges. We demonstrate that the major solution conformations are conserved between the different bridged peptides, but the distribution of conformations differs appreciably. This suggests that subtle differences in ring size and bridging structure can be exploited to fine-tune the conformational properties of cyclic peptides, which may modulate their bioactivities. Does the bridge matter? We have compared the solution conformations of lanthionine, disulfide and thioacetal-bridged cyclic analogues of angiotensin(1-7). Despite the different bridging structures, the major conformations are found to be conserved for the macrocyclic core. image
Place, publisher, year, edition, pages
John Wiley & Sons, 2024. Vol. 30, no 50
Keywords [en]
Conformation, Cyclic peptide, Lanthionine, NAMFIS, NMR spectroscopy
National Category
Organic Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-541467DOI: 10.1002/chem.202401654ISI: 001293847100001PubMedID: 38953277OAI: oai:DiVA.org:uu-541467DiVA, id: diva2:1912459
Part of project
Development of a Universal Enantioselective Halofunctionalization Strategy, Swedish Research CouncilSNIC 2.0: Swedish National Infrastructure for Computing, Swedish Research Council
Funder
Swedish Research Council, 2020-03431Swedish Research Council, 2022-06725Swedish Research Council, 2018-05973Swedish Research Council, 2025/5-431Swedish Research Council, 2023/5-392Swedish Research Council2024-11-122024-11-122024-11-12Bibliographically approved