Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
J Biomol Struct Dyn. 2023;41(21):11916-11929. doi: 10.1080/07391102.2023.2171135. Epub 2023 Jan 29.
Most of the existing DENV entry inhibitors were discovered through structure-based, high-throughput screening techniques and optimization approaches by aiming β-OG pocket. However, the class of precise chemical scaffolds with superior antiviral activity targeting the early stages of virus infection that is considered to be beneficial in therapeutics and is still in process. In this study, ligand-based pharmacophore modeling using existing DENV entry inhibitors provided two best models, AADRR-2 and AAADR-2 (A- accepter, D- donor, R-ring) to screen public and DrugBank datasets. Further, approximately 36000 molecules were filtered using Zinc13 by employing the ideal validated models. Additionally, using β-OG binding pocket as target site, molecular docking experiments including induced-fit studies were conducted that provided further structurally divergent ligands. Moreover, the refined list of preferential hits were filtered out based on the best fitness score, binding energy and interaction paradigm, among them fused pyrimidine, hydrazone and biphenyl core comprising scaffolds were identified possessing profound interaction profile with key amino acid residues, ALA-50, GLN-200, PHE-193 and PHE-279 in 100 ns MD simulations. Additionally, the search for similar chemical fingerprints from DrugBank library was also carried out and Eltrombopag (Promacta/Revolade® prescribed in thrombocytopenia) was identified as a preferential β-OG pocket binder. The identified pyrazole-based hydrazone class of drug, Eltrombopag is in phase II clinical trials employed to treat dengue-mediated thrombocytopenia.Communicated by Ramaswamy H. Sarma.
大多数现有的登革热病毒进入抑制剂都是通过基于结构的高通量筛选技术和针对β-OG 口袋的优化方法发现的。然而,针对病毒感染早期阶段的具有优异抗病毒活性的精确化学支架类药物仍在研究中,被认为在治疗学上是有益的。在这项研究中,使用现有的登革热病毒进入抑制剂进行基于配体的药效团建模,提供了两个最佳模型,AADRR-2 和 AAADR-2(A-受体、D-供体、R-环),用于筛选公共数据库和 DrugBank 数据库。进一步,使用 Zinc13 通过理想的验证模型过滤了大约 36000 个分子。此外,还进行了包括诱导契合研究在内的分子对接实验,以β-OG 结合口袋为靶位,提供了进一步具有结构差异的配体。此外,根据最佳拟合分数、结合能和相互作用模式,从包含细化的首选命中列表中筛选出了融合嘧啶、腙和联苯核心的化合物,这些化合物具有与关键氨基酸残基(ALA-50、GLN-200、PHE-193 和 PHE-279)的深刻相互作用特征,在 100ns MD 模拟中。此外,还从 DrugBank 库中搜索了相似的化学指纹,并鉴定出 Eltrombopag(Promacta/Revolade®用于血小板减少症)为优先β-OG 口袋结合物。鉴定出的基于吡唑的腙类药物 Eltrombopag 正在进行治疗登革热引起的血小板减少症的 II 期临床试验。由 Ramaswamy H. Sarma 传达。