Mathpal Deepti, Masand Mukesh, Thomas Anisha, Ahmad Irfan, Saeed Mohd, Zaman Gaffar Sarwar, Kamal Mehnaz, Jawaid Talha, Sharma Pramod K, Gupta Madan M, Kumar Santosh, Srivastava Swayam Prakash, Balaramnavar Vishal M
Sanskriti University, School of Pharmacy and Research 28 KM. Stone, Mathura - Delhi Highway, Chhata Mathura Uttar Pradesh (UP) 281401 India
Department of Pharmacy, Faculty of Medicine and Allied Sciences, Galgotias University Gautam Buddha Nagar Uttar Pradesh 226001 India.
RSC Adv. 2021 Oct 25;11(55):34462-34478. doi: 10.1039/d1ra05630a.
Fluoroquinolones, a class of compound, act inhibiting DNA gyrase and topoisomerase IV enzymes. This is an important class of drugs with high success rates for the treatment of tuberculosis and other bacterial infections. An indirect drug design approach was used to develop a meaningful pharmacophore model using the HypoGen module of Discovery Studio 2.0 on a set of 27 structurally diverse compounds with a wide range of biological activity (5 log units). The best hypothesis had three hydrogen bond acceptors (HBA) and one hydrophobic (Hy) moiety, showing = 0.95, and it predicts the test set of 44 compounds well, with = 0.823. The same features (acceptor and hydrophobic functionality) were validated at the binding site of the DNA gyrase active site using GOLD version 3.0.1 and Molegro Virtual Docker, which showed corresponding hydrogen bond interactions and also π-π stacking interactions that correlated well with the PIC values ( = 0.6142). The thoroughly validated model was used to screen an extensive database of 0.25 million compounds to identify potential leads. The validated model was implemented for the identification, design, synthesis, and biological evaluation of leads. Ten new chemical entities were synthesized based on our scaffold hopping techniques from the identified virtual screening and tested against the tuberculosis bacterium to obtain preliminary MIC values. The results showed that 3 out of 10 synthesized compounds exhibited good MICs, from 1.25 to 50 μM. This proves the robustness and applicability of the developed model, which is a promising tool for identifying new topoisomerase II inhibitors for the treatment of tuberculosis.
氟喹诺酮类化合物通过抑制DNA回旋酶和拓扑异构酶IV发挥作用。这是一类在治疗结核病和其他细菌感染方面成功率很高的重要药物。采用间接药物设计方法,利用Discovery Studio 2.0的HypoGen模块,对一组27种结构多样、具有广泛生物活性(5个对数单位)的化合物建立了有意义的药效团模型。最佳假设具有三个氢键受体(HBA)和一个疏水(Hy)部分,显示r2 = 0.95,并且能很好地预测44种化合物的测试集,r2 = 0.823。使用GOLD 3.0.1版本和Molegro Virtual Docker在DNA回旋酶活性位点的结合位点验证了相同的特征(受体和疏水功能),结果显示了相应的氢键相互作用以及与PIC值相关性良好的π-π堆积相互作用(r2 = 0.6142)。经过充分验证的模型用于筛选一个包含25万种化合物的大型数据库,以识别潜在的先导化合物。该验证模型用于先导化合物的识别、设计、合成和生物学评估。基于我们从已识别的虚拟筛选中采用的骨架跳跃技术合成了10个新的化学实体,并针对结核杆菌进行测试以获得初步的最低抑菌浓度(MIC)值。结果表明,10种合成化合物中有3种表现出良好的MIC值,范围为1.25至50μM。这证明了所开发模型的稳健性和适用性,该模型是识别用于治疗结核病的新型拓扑异构酶II抑制剂的有前途的工具。