Université de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France.
Aix Marseille Univ, CNRS, Developmental Biology Institute of Marseille (IBDM), UMR7288, Parc Scientifique de Luminy, 13009 Marseille, France.
Molecules. 2020 Feb 19;25(4):938. doi: 10.3390/molecules25040938.
By using an ensemble-docking strategy, we undertook a large-scale virtual screening campaign in order to identify new putative hits against the MET kinase target. Following a large molecular dynamics sampling of its conformational space, a set of 45 conformers of the kinase was retained as docking targets to take into account the flexibility of the binding site moieties. Our screening funnel started from about 80,000 chemical compounds to be tested in silico for their potential affinities towards the kinase binding site. The top 100 molecules selected-thanks to the molecular docking results-were further analyzed for their interactions, and 25 of the most promising ligands were tested for their ability to inhibit MET activity in cells. F0514-4011 compound was the most efficient and impaired this scattering response to HGF (Hepatocyte Growth Factor) with an IC 50 of 7.2 μ M. Interestingly, careful docking analysis of this molecule with MET suggests a possible conformation halfway between classical type-I and type-II MET inhibitors, with an additional region of interaction. This compound could therefore be an innovative seed to be repositioned from its initial antiviral purpose towards the field of MET inhibitors. Altogether, these results validate our ensemble docking strategy as a cost-effective functional method for drug development.
采用基于集合的对接策略,我们进行了大规模的虚拟筛选活动,以鉴定针对 MET 激酶靶标的新型潜在命中化合物。在对其构象空间进行大规模分子动力学采样之后,保留了一组 45 种激酶构象作为对接靶标,以考虑结合部位部分的灵活性。我们的筛选漏斗从大约 80000 种化学化合物开始,对它们与激酶结合部位的潜在亲和力进行了计算机测试。由于分子对接结果,前 100 种分子被进一步分析了它们的相互作用,其中 25 种最有前途的配体被测试了抑制 MET 活性的能力。F0514-4011 化合物是最有效的,它能以 7.2 μM 的 IC 50 抑制 MET 对 HGF(肝细胞生长因子)的散射反应。有趣的是,对这种分子与 MET 的仔细对接分析表明,它可能处于经典的 I 型和 II 型 MET 抑制剂之间的一种构象,具有额外的相互作用区域。因此,该化合物可能是一种有前途的先导化合物,可以从最初的抗病毒目的重新定位到 MET 抑制剂领域。总的来说,这些结果验证了我们的基于集合的对接策略作为一种具有成本效益的药物开发功能方法的有效性。