Stefanucci, Azzurra published the artcileIn Silico Identification of Tripeptides as Lead Compounds for the Design of KOR Ligands, SDS of cas: 111-87-5, the main research area is KOR ligand design tripeptide compound identification; antinociceptive effect; binding; k-opioid receptor; molecular modelling; peptides.
The kappa opioid receptor (KOR) represents an attractive target for the development of drugs as potential antidepressants, anxiolytics and analgesics. A robust computational approach may guarantee a reduction in costs in the initial stages of drug discovery, novelty and accurate results. In this work, a virtual screening workflow of a library consisting of â? million mols. was set up, with the aim to find potential lead compounds that could manifest activity on the KOR. This in silico study provides a significant contribution in the identification of compounds capable of interacting with a specific mol. target. The main computational techniques adopted in this exptl. work include: (i) virtual screening; (ii) drug design and leads optimization; (iii) mol. dynamics. The best hits are tripeptides prepared via solution phase peptide synthesis. These were tested in vivo, revealing a good antinociceptive effect after s.c. administration. However, further work is due to delineate their full pharmacol. profile, in order to verify the features predicted by the in silico outcomes.
Molecules published new progress about Analgesics. 111-87-5 belongs to class alcohols-buliding-blocks, name is n-Octanol, and the molecular formula is C8H18O, SDS of cas: 111-87-5.
Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts