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Cyclization in Opioid Peptides

Authors: Justyna Piekielna; Renata Perlikowska; Katarzyna Gach; Anna Janecka;

Cyclization in Opioid Peptides

Abstract

Endogenous opioid peptides have been studied extensively as potential therapeutics for the treatment of pain. The major problems of using natural opioid peptides as drug candidates are their poor receptor specificity, metabolic instability and inability to reach the brain after systemic administration. A lot of synthetic efforts have been made to opioid analogs with improved pharmacological properties. One important structural modification leading to such analogs is cyclization of linear sequences. Intramolecular cyclization has been shown to improve biological properties of various bioactive peptides. Cyclization reduces conformational freedom responsible for the simultaneous activation of two or more receptors, increases metabolic stability and lipophilicity which may result in a longer half-life and easier penetration across biological membranes. This review deals with various strategies that have been employed to synthesize cyclic analogs of opioid peptides. Discussed are such bridging bonds as amide and amine linkages, sulfur-containing bonds, including monosulfide, disulfide and dithioether bridges, bismethylene bonds, monosulfide bridges of lanthionine and, finally, carbonyl and guanidine linkages. Opioid affinities and activities of cyclic analogs are given and compared with linear opioid peptides. Analgesic activities of analogs evaluated in the in vivo pain tests are also discussed.

Related Organizations
Keywords

Analgesics, Opioid, Opioid Peptides, Cyclization, Animals, Brain, Humans, Pain, Tissue Distribution, Half-Life

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    30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
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