File:GR-89696 3D BS.png

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
Source: Wikipedia, the free encyclopedia.

Original file(2,970 × 1,575 pixels, file size: 460 KB, MIME type: image/png)

Summary

Description
English: GR-89696 is a drug which acts as a highly selective κ-opioid agonist. It shows selective effects in different animal models and it is thought it may be a subtype-selective agonist for the κ2 subtype. Recent studies have suggested that GR-89696 and related κ2-selective agonists may be useful for preventing the itching which is a common side effect of conventional opioid analgesic drugs, without the additional side effects of non-selective kappa agonists.
Date
Source Own work
Author Mplanine

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Captions

GR-89696 is a drug which acts as a highly selective κ-opioid agonist.

Items portrayed in this file

depicts

12 November 2022

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current17:02, 12 November 2022Thumbnail for version as of 17:02, 12 November 20222,970 × 1,575 (460 KB)MplanineUploaded own work with UploadWizard
The following pages on the English Wikipedia use this file (pages on other projects are not listed):

Metadata