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Updated: Aug 14, 2026

Constructing Thioether/Vinyl Sulfide-tethered Helical Peptides Via Photo-induced Thiol-ene/yne Hydrothiolation
Published on: August 1, 2018
Delicate Balance of Intra- and Inter-Molecular Entropic Effects in S-S Peptide Cyclization
Michael G Medvedev1, Ivan A Bespalov1,2, Alexander S Molokoedov3
1N. D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, 47 Leninsky Prosp., Moscow119991, Russian Federation.
This study reveals the mechanism of cyclic disulfide bond formation in peptides using computational methods. A new kinetic model accurately predicts optimal iodine conditions for synthesizing these important pharmaceutical compounds.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Biochemistry
Background:
- Cyclic peptides with intramolecular disulfide bonds are crucial in pharmaceuticals for treating cancer, autoimmune, and orphan diseases.
- The formation of these disulfide bonds is critical for peptide yield and purity, but the mechanism of iodine-mediated oxidation is not well understood.
- Current methods lack predictive models for optimizing disulfide bond formation.
Purpose of the Study:
- To elucidate the molecular mechanism of intramolecular disulfide bond formation in cyclic peptides via iodine-mediated oxidation.
- To develop a predictive kinetic model for optimizing the disulfide bond closure step.
- To provide insights into improving the synthesis of cyclic peptide therapeutics.
Main Methods:
- Utilized hybrid density functional theory (DFT) methods (PBE0-D3BJ/def2-TZVP/PCM(DMF)) to investigate the reaction mechanism.
- Established the intramolecular SN2-cyclization pathway and competing side reactions.
- Developed and validated a two-parameter kinetic model against experimental data.
Main Results:
- Identified a competing SN2-cyclization mechanism and a second cysteine oxidation pathway.
- Provided the first computational evidence for a diiodinated intermediate under excess iodine, which lowers cyclic disulfide yield.
- Developed a kinetic model that accurately predicts optimal iodine stoichiometry for various peptide structures.
Conclusions:
- The study clarifies the mechanism of iodine-mediated disulfide bond formation in cyclic peptides.
- The developed kinetic model enables prediction of optimal reaction conditions, enhancing synthesis efficiency.
- This work advances the development of cyclic peptide-based therapeutics by improving synthetic control.
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