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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Identification of type I and type II inhibitors of c-Yes kinase using in silico and experimental techniques
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Identification of type I and type II inhibitors of c-Yes kinase using in silico and experimental techniques

机译:用Silico和实验技术鉴定C-NE激酶的I型和II型抑制剂

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摘要

c-Yes kinase is considered as one of the attractive targets for anti-cancer drug design. The DFG (Asp-Phe-Gly) motif present in most of the kinases will adopt active and inactive conformations, known as DFG-in and DFG-out and their inhibitors are classified into type I and type II, respectively. In the present study, two screening protocols were followed for identification of c-Yes kinase inhibitors. (i) Structure-based virtual screening (SBVS) and (ii) Structure-based (SB) and Pharmacophore-based (PB) tandem screening. In SBVS, the c-Yes kinase structure was obtained from homology modeling and seven ensembles with different active site scaffolds through molecular dynamics (MD) simulations. For SB-PB tandem screening, we modeled ligand bound active and inactive conformations. Physicochemical properties of inhibitors of Src kinase family and c-Yes kinase were used to prepare target focused libraries for screenings. Our screening procedure along with docking showed 520 probable hits in SBVS and tandem screening (120 and 400, respectively). Out of 5000 compounds identified from different computational methods, 2410 were examined using kinase inhibition assays. It includes 266 compounds (5.32%) identified from our method. We observed that 14 compounds (12%) are identified by the present method out of 168 that showed30% inhibition. Among them, three compounds are novel, unique, and showed good inhibition. Further, we have studied the binding of these compounds at the DFG-in and DFG-out conformations and reported the probable class (type I or type II). Hence, we suggest that these compounds could be novel drug leads for regulation of colorectal cancer.
机译:C-是激酶被认为是抗癌药物设计的有吸引力的目标之一。大多数激酶中存在的DFG(ASP-PHE-GLY)基序将采用活性和无活性构象,称为DFG-IN和DFG-OUT,其抑制剂分别分为I型和II型。在本研究中,遵循两种筛选方案以鉴定C-N是激酶抑制剂。 (i)基于结构的虚拟筛选(SBV)和(II)基于结构的(SB)和基于药物的(PB)串联筛选。在SBV中,通过分子动力学(MD)模拟,从同源性建模和具有不同有源部位支架的七个合奏获得的C-WES激酶结构。对于SB-PB串联筛选,我们建模了配体绑定的主动和非活动构象。 SRC激酶家族抑制剂和C-是激酶的物理化学性质用于制备靶向筛选的靶标菌。我们的筛选程序以及对接显示了SBV和SBV和串联筛选(分别为120和400)的520个可能的命中。使用激酶抑制测定检测从不同计算方法鉴定的5000个鉴定的化合物中。它包括从我们的方法中鉴定的266种化合物(5.32%)。我们观察到,通过168的本方法鉴定了14种化合物(12%),其中168例显示出来且抑制30%。其中,三种化合物是新颖的,独特的,并且表现出良好的抑制作用。此外,我们研究了这些化合物在DFG-IN和DFG-OUT构象的结合,并报道了可能的类别(I型或II型)。因此,我们建议这些化合物可以是新药引线,用于调节结肠直肠癌。

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