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First atomic-level image of the human 'marijuana receptor' unveiled

Date:
October 20, 2016
Source:
Scripps Research Institute
Summary:
In a discovery that advances the understanding of how marijuana works in the human body, an international group of scientists has, for the first time, created a three-dimensional atomic-level image of the molecular structure activated by tetrahydrocannabinol (THC), the active chemical in marijuana.
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In a discovery that advances the understanding of how marijuana works in the human body, an international group of scientists, including those from the Florida campus of The Scripps Research Institute (TSRI), have for the first time created a three-dimensional atomic-level image of the molecular structure activated by tetrahydrocannabinol (THC), the active chemical in marijuana.

The new insights into the human cannabinoid receptor 1 (CB1) will provide an essential tool for understanding why some molecules related to THC have unexpectedly complex and sometimes harmful effects. The findings also have the potential to guide drug design for pain, inflammation, obesity, fibrosis and other indications.

The new study, published by the journal Cell, was led by a quartet of scientists: TSRI's Laura Bohn, Northeastern University's Alexandros Makriyannis, Shanghai Tech University's Zhi-Jie Liu and Raymond C. Stevens (also of the University of Southern California).

At the beginning of the study, the team struggled to produce a crystal form -- needed to obtain data to recreate the high-resolution structure -- of the receptor bound with AM6538, a stabilizing a molecule that blocks the receptor's action.

"The CB1 receptor proved as challenging for crystallization as it did for understanding its functional regulation and signaling," said Bohn, who is a professor in TSRI's Department of Molecular Therapeutics.

When the scientists succeeded in crystalizing the receptor and collecting the data, the structure of the cannabinoid receptor complex revealed an expansive and complicated binding pocket network consisting of multiple sub-pockets and channels to various regions of the receptor.

Cannabinoid receptors are part of a large class of receptors known as G protein-coupled receptors (GPCR), which account for about 40 percent of all prescription pharmaceuticals on the market, and play key roles in many physiological functions. When an outside substance binds to a GPCR, it activates a G protein inside the cell to release components and create a specific cellular response.

AM6538, is an antagonist/inverse agonist that binds tightly to the receptor; it has a long half-life, making it potentially useful as a treatment of addiction disorders.

"As marijuana continues to become more common in society, it is critical that we understand how it works in the human body," said Liu, who is professor and deputy director of the iHuman Institute of Shanghai Tech and is also affiliated with the Chinese Academy of Sciences.


Story Source:

Materials provided by Scripps Research Institute. Note: Content may be edited for style and length.


Journal Reference:

  1. Tian Hua, Kiran Vemuri, Mengchen Pu, Lu Qu, Gye Won Han, Yiran Wu, Suwen Zhao, Wenqing Shui, Shanshan Li, Anisha Korde, Robert B. Laprairie, Edward L. Stahl, Jo-Hao Ho, Nikolai Zvonok, Han Zhou, Irina Kufareva, Beili Wu, Qiang Zhao, Michael A. Hanson, Laura M. Bohn, Alexandros Makriyannis, Raymond C. Stevens, Zhi-Jie Liu. Crystal Structure of the Human Cannabinoid Receptor CB1. Cell, 2016; 167 (3): 750 DOI: 10.1016/j.cell.2016.10.004

Cite This Page:

Scripps Research Institute. "First atomic-level image of the human 'marijuana receptor' unveiled." ScienceDaily. ScienceDaily, 20 October 2016. <www.sciencedaily.com/releases/2016/10/161020223928.htm>.
Scripps Research Institute. (2016, October 20). First atomic-level image of the human 'marijuana receptor' unveiled. ScienceDaily. Retrieved May 24, 2017 from www.sciencedaily.com/releases/2016/10/161020223928.htm
Scripps Research Institute. "First atomic-level image of the human 'marijuana receptor' unveiled." ScienceDaily. www.sciencedaily.com/releases/2016/10/161020223928.htm (accessed May 24, 2017).

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