Bhojwani Heena R, Joshi Urmila J
Department of Pharmaceutical Chemistry, Prin. K.M. Kundnani College of Pharmacy, University of Mumbai, Mumbai, Maharashtra, India.
Curr Comput Aided Drug Des. 2017;13(3):186-207. doi: 10.2174/1386207319666161214112536.
Kinase domain of VEGFR-2 displays conformational flexibility which leads to existence of two kinds of inhibitors viz. type I and type II inhibitors. They exhibit different binding modes and this necessitates the development of separate pharmacophore models for them.
The virtual screening study for discovery of type I inhibitors of VEGFR-2 kinase was done by using combined pharmacophore (generated using PHASE and validated by 3D-QSAR) and docking (Glide) based approach. Validated pharmacophore was used as preliminary filter followed by docking. ADME properties were predicted for retrieved hits using QikProp.
ADHRR.94 with statistical parameters r2 test 0.94, r2 training 0.99, SD 0.0766, r2 0.9861, F 283.3, RMSE 0.2605, q2 0.8115 and Pearson's R 0.9723was identified as the best pharmacophore hypothesis for type I inhibitors of VEGFR-2 kinase. Virtual screening study was done for Asinex Elite Libraries comprising of 104400 molecules using ADHRR.94, HTVS docking and XP docking that resulted in twelve hits. Asinex ligand 5686 with docking score of -10.48kcal/mol was top-ranking hit. It made two hydrogen bonding interactions with Cys 919, one as an acceptor and other as a donor, which are characteristic of type I inhibitors. Additional interactions observed were π-cation with Lys 868 and π- πstacking with Phe 1047.Twelve hits had acceptable values for ADME properties.
Twelve hits with best obtained docking scores ranging from -10.48 to -7.23 kcal/mol and mimicking characteristic type I inhibitor interactions were identified which could be probable inhibitors of VEGFR-2.
血管内皮生长因子受体-2(VEGFR-2)的激酶结构域具有构象灵活性,这导致存在两种抑制剂,即I型和II型抑制剂。它们表现出不同的结合模式,因此有必要为它们开发单独的药效团模型。
采用联合药效团(使用PHASE生成并经3D-QSAR验证)和基于对接(Glide)的方法,对VEGFR-2激酶I型抑制剂进行虚拟筛选研究。经验证的药效团用作初步筛选,随后进行对接。使用QikProp预测检索到的命中物的药物代谢动力学性质。
ADHRR.94的统计参数为r2检验0.94、r2训练0.99、标准差0.0766、r2 0.9861、F 283.3、均方根误差0.2605、q2 0.8115和皮尔逊相关系数0.9723,被确定为VEGFR-2激酶I型抑制剂的最佳药效团假设。使用ADHRR.94、高通量虚拟筛选对接和经验证的对接对包含104400个分子的Asinex Elite文库进行虚拟筛选研究,结果产生了12个命中物。对接分数为-10.48kcal/mol的Asinex配体5686是排名最高的命中物。它与半胱氨酸919形成了两个氢键相互作用,一个作为受体,另一个作为供体,这是I型抑制剂的特征。观察到的其他相互作用包括与赖氨酸868的π-阳离子相互作用和与苯丙氨酸1047的π-π堆积。12个命中物的药物代谢动力学性质具有可接受的值。
确定了12个对接分数最佳的命中物,范围为-10.48至-7.23kcal/mol,并模拟了特征性的I型抑制剂相互作用,它们可能是VEGFR-2的潜在抑制剂。