Mechanistic QSAR analysis to predict the binding affinity of diverse heterocycles as selective cannabinoid 2 receptor inhibitor

• Main Authors: Jawarkar, Rahul D, Zaki, Magdi E A, Al-Hussain, Sami A, Alzahrani, Abdullah Yahya Abdullah, Long, Chiau Ming *, Samad, Abdul, Rashid, Summya, Mali, Suraj, Elossaily, Gehan M.
• Format: Article
• Language: English
• Published: Taylor and Francis Group 2023
• Subjects: QP Physiology; RM Therapeutics. Pharmacology; RS Pharmacy and materia medica; RV Botanic, Thomsonian, and eclectic medicine
• Online Access: http://eprints.sunway.edu.my/2858/1/Long%20Chiau%20Ming_Mechanistic%20QSAR%20analysis%20to%20predict%20the%20binding%20affinity%20of%20diverse%20heterocycles%20as%20selective%20cannabinoid%202%20receptor%20inhibitor.pdf; http://eprints.sunway.edu.my/2858/; https://doi.org/10.1080/16583655.2023.2265104

CB2R are fascinating targets for neuropathic pain and mood disorders because of their improved biological characteristics. Experimental data on 1296 cannabinoid-2 receptor inhibitors with different structural properties were used to develop a QSAR model following OECD guidelines. This study selected...