The psychoactive cannabinoids from Cannabis sativa L. and the arachidonic acid-derived endocannabinoids are nonselective natural ligands for cannabinoid receptor type 1 (CB1) and CB2 receptors. Although the CB1 receptor is responsible for the psychomodulatory effects, activation of the CB2 receptor is a potential therapeutic strategy for the treatment of inflammation, pain, atherosclerosis, and osteoporosis. Here, we report that the widespread plant volatile (E) Cannabis ͉ CB2 cannabinoid receptor ͉ foodstuff ͉ inflammation ͉ natural product P lant essential oils are typically composed of volatile aromatic terpenes and phenylpropanoids. These lipophilic volatiles freely cross cellular membranes and serve various ecological roles, like plant-insect interactions (1, 2). The sesquiterpene (E)--caryophyllene [(E)-BCP] (Fig. 1) is a major plant volatile found in large amounts in the essential oils of many different spice and food plants, such as oregano (Origanum vulgare L.), cinnamon (Cinnamomum spp.) and black pepper (Piper nigrum L.) (3-5). In nature, (E)-BCP is usually found together with small quantities of its isomers (Z)--caryophyllene [(Z)-BCP or isocaryophyllene] and ␣-humulene (formerly ␣-caryophyllene) or in a mixture with its oxidation product, BCP oxide (Fig. 1). Because of its weak aromatic taste, (E)-BCP is commercially used as a food additive and in cosmetics (6). (E)-BCP is also a major component (up to 35%) in the essential oil of Cannabis sativa L (7). Although Cannabis contains Ͼ400 different secondary metabolites, including Ͼ65 cannabinoid-like natural products, only ⌬ 9 -tetrahydrocannabinol (THC), ⌬ 8 -tetrahydrocannabinol, and cannabinol have been reported to activate cannabinoid receptor types 1 (CB 1 ) and 2 (CB 2 ) (8). Here, we show that the essential oil component (E)-BCP selectively binds to the CP55,940 binding site (i.e., THC binding site) in the CB 2 receptor, leading to cellular activation and antiinflammatory effects. CB 1 and CB 2 cannabinoid receptors are GTP-binding protein (G protein) coupled receptors that were first cloned in the early 1990s (9, 10). Although the CB 1 receptor is expressed in the central nervous system and in the periphery, the CB 2 receptor is primarily found in peripheral tissues (11). In vivo, CB receptors are activated by arachidonic acid-derived endocannabinoids, such as 2-arachidonoyl ethanolamine (anandamide or AEA) and 2-arachidonoylglycerol (2-AG) (12, 13). In addition to a wide range of primarily CB 1 receptor-mediated physiological effects on the central nervous system, different cannabinoid ligands have been reported to modulate immune responses (14). In particular, CB 2 receptor ligands have been shown to inhibit inflammation and edema formation (15), exhibit analgesic effects (16), and play a protective role in hepatic ischemia-reperfusion injury (17). In the gastrointestinal tract, CB 2 receptor agonists have been shown to prevent experimental colitis by reducing inflammation (18). Moreover, the CB 2 receptor has been described as a potential ...
The biological actions of anandamide (arachidonylethanolamide), an endogenous cannabinoid lipid, are terminated by a two-step inactivation process consisting of carrier-mediated uptake and intracellular hydrolysis. Anandamide uptake in neurons and astrocytes is mediated by a high-affinity, Na ؉ -independent transporter that is selectively inhibited by N-(4-hydroxyphenyl)-arachidonamide (AM404). In the present study, we examined the structural determinants governing recognition and translocation of substrates by the anandamide transporter constitutively expressed in a human astrocytoma cell line. Competition experiments with a select group of analogs suggest that substrate recognition by the transporter is favored by a polar nonionizable head group of defined stereochemical configuration containing a hydroxyl moiety at its distal end. The secondary carboxamide group interacts favorably with the transporter, but may be replaced with either a tertiary amide or an ester, suggesting that it may serve as hydrogen acceptor. Thus, 2-arachidonylglycerol, a putative endogenous cannabinoid ester, also may serve as a substrate for the transporter. Substrate recognition requires the presence of at least one cis double bond situated at the middle of the fatty acid carbon chain, indicating a preference for ligands whose hydrophobic tail can adopt a bent U-shaped conformation. On the other hand, uptake experiments with radioactively labeled substrates show that no fewer than four cis nonconjugated double bonds are required for optimal translocation across the cell membrane, suggesting that substrates are transported in a folded hairpin conformation. These results outline the general structural requisites for anandamide transport and may assist in the development of selective inhibitors with potential clinical applications.
Target identification of the known bioactive compounds and novel synthetic analogs is a very important research field in medicinal chemistry, biochemistry, and pharmacology. It is also a challenging and costly step towards chemical biology and phenotypic screening. In silico identification of potential biological targets for chemical compounds offers an alternative avenue for the exploration of ligand-target interactions and biochemical mechanisms, as well as for investigation of drug repurposing. Computational target fishing mines biologically annotated chemical databases and then maps compound structures into chemogenomical space in order to predict the biological targets. We summarize the recent advances and applications in computational target fishing, such as chemical similarity searching, data mining/machine learning, panel docking, and the bioactivity spectral analysis for target identification. We then described in detail a new web-based target prediction tool, TargetHunter (http://www.cbligand.org/TargetHunter). This web portal implements a novel in silico target prediction algorithm, the Targets Associated with its MOst SImilar Counterparts, by exploring the largest chemogenomical databases, ChEMBL. Prediction accuracy reached 91.1% from the top 3 guesses on a subset of high-potency compounds from the ChEMBL database, which outperformed a published algorithm, multiple-category models. TargetHunter also features an embedded geography tool, BioassayGeoMap, developed to allow the user easily to search for potential collaborators that can experimentally validate the predicted biological target(s) or off target(s). TargetHunter therefore provides a promising alternative to bridge the knowledge gap between biology and chemistry, and significantly boost the productivity of chemogenomics researchers for in silico drug design and discovery.
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