Related Experiment Video
Updated: Feb 7, 2026

Rapid One-step Enzymatic Synthesis and All-aqueous Purification of Trehalose Analogues
Published on: February 17, 2017
Structural Optimization and Characterization of Potent Analgesic Macrocyclic Analogues of Neurotensin (8-13)
Marc Sousbie1, Mélanie Vivancos1, Rebecca L Brouillette1
1Department of Pharmacology and Physiology, Faculty of Medicine and Health Sciences, Institut de Pharmacologie de Sherbrooke , Université de Sherbrooke , 3001 12e Avenue Nord , Sherbrooke , Quebec J1H 5N4 , Canada.
Abstract:
The neurotensin receptors are attractive targets for the development of new analgesic compounds. They represent potential alternatives or adjuvants to opioids. Herein, we report the structural optimization of our recently reported macrocyclic peptide analogues of NT(8-13). The macrocycle was formed via ring-closing metathesis (RCM) between an ortho allylated tyrosine residue in position 11 and the side chain of alkene-functionalized amino acid in position 8 of NT(8-13). Minute modifications led to significant binding affinity improvement ( Ki improved from 5600 to 15 nM) with greatly improved plasma stability compared to NT(8-13). This study also delineates the structural features influencing these parameters. The signaling profiles of the new macrocycles were determined on the NTS1 receptor, and the physiological effects of the two most potent and stable analogues were assessed in vivo using rodent models. Both compounds displayed strong analgesic effects.
More Related Videos
09:31In Vitro Colony Assays for Characterizing Tri-potent Progenitor Cells Isolated from the Adult Murine Pancreas
Published on: June 10, 2016
10:16Design and Operation of a Continuous 13C and 15N Labeling Chamber for Uniform or Differential, Metabolic and Structural, Plant Isotope Labeling
Published on: January 16, 2014
Related Concept Videos
Opioid Analgesics: Morphine and Other Natural Cogeners
Opioid Analgesics: Synthetic and Semisynthetic Opioids
Carbon-13 (¹³C) NMR: Overview
Optimal Foraging
Optimization Problems
Structures of Solids