期刊
SCIENCE
卷 377, 期 6614, 页码 1509-+出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.abn7065
关键词
-
资金
- DARPA [HR0011-19-20020]
- DFG [GRK 1910]
- US NIH [R35GM122481, R01GM133836]
- US [R35 NS097306]
- Open Philanthropy
- Facial Pain Research Foundation
- CIHR Foundation [FN-148431]
- NSF Graduate Research Fellowship
- Science, Technology and Innovation Commission of Shenzhen Municipality [JCYJ20200109150019113]
- Kobilka Institute of Innovative Drug Discovery and Shenzhen Key Lab [ZDSYS20190902093417963]
- NIMH PDSP [HHSN-271-2018-00023-C]
A new class of α(2A)AR agonists has been discovered through computational docking and experimental validation, which exhibit on-target analgesic activity in multiple pain models without inducing sedation.
Because nonopioid analgesics are much sought after, we computationally docked more than 301 million virtual molecules against a validated pain target, the alpha(2A)-adrenergic receptor (alpha(2A)AR), seeking new alpha(2A)AR agonists chemotypes that lack the sedation conferred by known alpha(2A)AR drugs, such as dexmedetomidine. We identified 17 ligands with potencies as low as 12 nanomolar, many with partial agonism and preferential G(i) and G(o) signaling. Experimental structures of alpha(2A)AR complexed with two of these agonists confirmed the docking predictions and templated further optimization. Several compounds, including the initial docking hit '9087 [mean effective concentration (EC50) of 52 nanomolar] and two analogs, '7075 and PS75 (EC50 4.1 and 4.8 nanomolar), exerted on-target analgesic activity in multiple in vivo pain models without sedation. These newly discovered agonists are interesting as therapeutic leads that lack the liabilities of opioids and the sedation of dexmedetomidine.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据