Ugbe Fabian Audu, Shallangwa Gideon Adamu, Uzairu Adamu, Abdulkadir Ibrahim
Department of Chemistry, Faculty of Physical Sciences, Ahmadu Bello University, P.M.B. 1044, Zaria, Kaduna State Nigeria.
In Silico Pharmacol. 2022 May 7;10(1):8. doi: 10.1007/s40203-022-00123-3. eCollection 2022.
Lymphatic filariasis and onchocerciasis are two common filarial diseases caused by a group of parasitic nematodes called filarial worms, which play host to the bacteria organism . One good treatment approach seeks as drug target. Here, a QSAR study was conducted to investigate the anti- activities (pEC) of 52 pyrazolopyrimidine analogues, while using the built model to predict the pEC values of the newly designed analogues. Density Functional Theory was used for the structural optimization, while the model building was based on Genetic Function Algorithm approach. The built QSAR model was validated thus: R = 0.8104, R = 0.7629, Q = 0.6981, R = 0.7501 and cRp = 0.7476. The predicted pEC of all newly designed compounds were higher than that of the template (). The new compounds were; observed to pass the drug-likeness criteria, uniformly distributed to the brain, and found to be non-mutagenic. Also, the new compounds and the reference drug (doxycycline), were docked onto Ovarian Tumor (OTU) deubiquitinase receptor (PDB ID: 6W9O) using iGEMDOCK tool. This protein is known to help subvert host ubiquitin signaling. The resulting binding scores of the newly designed compounds except were higher than that of doxycycline, while the protein-ligand interactions were majorly characterized by Hydrogen-bonding and hydrophobic interaction types. Therefore, the newly designed molecules could be developed as potential drug candidates for the treatment of lymphatic filariasis and onchocerciasis.
淋巴丝虫病和盘尾丝虫病是由一类称为丝虫的寄生线虫引起的两种常见丝虫病,这些丝虫是细菌生物体的宿主。一种良好的治疗方法是寻找作为药物靶点。在此,进行了一项定量构效关系(QSAR)研究,以研究52种吡唑并嘧啶类似物的抗活性(pEC),同时使用所构建的模型预测新设计类似物的pEC值。采用密度泛函理论进行结构优化,而模型构建基于遗传函数算法方法。所构建的QSAR模型经如下验证:R = 0.8104,R = 0.7629,Q = 0.6981,R = 0.7501和cRp = 0.7476。所有新设计化合物的预测pEC均高于模板()。这些新化合物;被观察到符合类药性标准,均匀分布于大脑,且无致突变性。此外,使用iGEMDOCK工具将新化合物和参考药物(强力霉素)对接至卵巢肿瘤(OTU)去泛素化酶受体(PDB ID:6W9O)。已知该蛋白有助于颠覆宿主泛素信号传导。除了 之外,新设计化合物的所得结合分数均高于强力霉素,而蛋白质-配体相互作用主要以氢键和疏水相互作用类型为特征。因此,新设计的分子可开发为治疗淋巴丝虫病和盘尾丝虫病的潜在候选药物。