Ruslin Ruslin, Yamin Yamin, Kasmawati Henny, Mangrura Samuel, Kadidae Laode, Alroem Armid, Arba Muhammad
Faculty of Pharmacy, Universitas Halu Oleo, Kendari, 93232, Indonesia.
Department of Chemistry, Faculty of Mathematics and Natural; Sciences, Universitas Halu Oleo, Kendari, 93232, Indonesia.
J Multidiscip Healthc. 2022 Apr 12;15:783-791. doi: 10.2147/JMDH.S359429. eCollection 2022.
Cyclooxygenase (COX-2) has been validated as a molecular target for treating inflammatory diseases. The present work was performed to identify potential COX-2 inhibitors by employing pharmacophore modeling.
The pharmacophore features consisted of seven features, ie, three hydrophobic, one negative ion, and three hydrogen bond acceptors, which were developed based on the structure of COX-2 inhibitor, (R)-naproxen.
The pharmacophore model was validated with a Goodness of Hit (GH score) of 0.754 and the values of AUC100% 0.51. Screening against the ZINC database retrieved 1675 hits, while the molecular docking procedure identified four best hit molecules in term of binding orientation and binding energies, ie, Lig_1805/ZINC103584272 (E = -11.03 kcal/mol), Lig_553/ZINC408573132 (E = -10.92 kcal/mol), Lig_680/ZINC103584263 (E = -10.90 kcal/mol), and Lig_2006/ZINC19324645 (E = -10.62 kcal/mol).
The interactions of the four hits occurred in the binding site as (R)-naproxen did, and interestingly, their binding affinities were stronger than (R)-naproxen, implying their potential as COX-2 inhibitors.
环氧化酶(COX-2)已被确认为治疗炎症性疾病的分子靶点。本研究旨在通过药效团建模来鉴定潜在的COX-2抑制剂。
药效团特征由七个特征组成,即三个疏水基团、一个负离子和三个氢键受体,这些特征是基于COX-2抑制剂(R)-萘普生的结构开发的。
药效团模型通过命中优度(GH评分)0.754和AUC100%值0.51进行了验证。在ZINC数据库中进行筛选得到1675个命中结果,而分子对接程序根据结合方向和结合能确定了四个最佳命中分子,即Lig_1805/ZINC103584272(E = -11.03 kcal/mol)、Lig_553/ZINC408573132(E = -10.92 kcal/mol)、Lig_680/ZINC103584263(E = -10.90 kcal/mol)和Lig_2006/ZINC19324645(E = -10.62 kcal/mol)。
这四个命中结果的相互作用与(R)-萘普生一样发生在结合位点,有趣的是,它们的结合亲和力比(R)-萘普生更强,这意味着它们具有作为COX-2抑制剂的潜力。