化学
哌啶
止痛药
立体化学
对接(动物)
哌替啶
吗啡
该死的
类阿片
药理学
阿片受体
受体
生物化学
护理部
医学
作者
Huma Naseem,Nousheen Mushtaq,Aamir Saeed,Nighat Shafi,Muniba Inam
标识
DOI:10.1080/10406638.2023.2237633
摘要
AbstractPiperidine is an essential moiety of morphine, responsible for the analgesic activity. Among number of other analgesic targets, µ-opioid receptor is still the most focused and therapeutically important in the management of pain. In this study, a series of novel derivatives of 4 amino methyl piperidine were synthesized and explored for analgesic potential against mu opioid receptor. Their structures were elucidated by FT-IR, 1H NMR, and LC-MS followed by in vivo analgesic evaluation by tail-flick method and writhing test. Among all derivatives, HN58 showed excellent analgesic activity (100% inhibition) in writhing test. Furthermore, reduction of HN58 analgesic effect by naloxone suggests its involvement with µ-OR. Molecular docking approach was also utilized to compare the analgesic potential of synthesized derivatives in order to find potent µ-OR inhibitors, we designed five piperidine derivatives with analgesic activity. We have elucidated the binding affinities and binding modes of these piperidine derivatives including standard molecules Morphine, Fentanyl Pethidine and DAMGO revealed a well-known µ-O inhibitor (having binding affinity ranges from −8.13 to −13.37 kcal/mol). All novel derivatives exhibited the remarkable binding score and encapsulated in the binding pocket of transmembraneous helices engaged by the residues Q124, W133, I144, D147, Y148, M151, V236, I296, H297, W318, I322, and Y236. All derivatives revealed excellent binding scores and interaction mechanism as compared to morphine, pethidine, and fentanyl respectively.Keywords: 4-Amino methyl piperidinemolecular docking studiesanalgesicopioids AcknowledgmentsThe authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: 22UQU4350073DSR09.Disclosure statementNo potential conflict of interest was reported by the author(s). .Data availability statementMost of the data used to support the findings of this study are included within the article; however other supporting data will be available on request from the corresponding author. (huma.naseem@hotmail.com).Additional informationFundingNo external funding was received for this study. This work was supported by the Deanship of Scientific Research at Umm Al-Qura University Grant Code: 22UQU4350073DSR09.
科研通智能强力驱动
Strongly Powered by AbleSci AI