Itteboina Ramesh, Ballu Srilata, Sivan Sree Kanth, Manga Vijjulatha
a Molecular Modeling and Medicinal Chemistry Group, Department of Chemistry , University College of Science, Osmania University , Hyderabad , India.
J Recept Signal Transduct Res. 2017 Oct;37(5):453-469. doi: 10.1080/10799893.2017.1328442. Epub 2017 May 24.
Janus kinase 1 (JAK 1) belongs to the JAK family of intracellular nonreceptor tyrosine kinase. JAK-signal transducer and activator of transcription (JAK-STAT) pathway mediate signaling by cytokines, which control survival, proliferation and differentiation of a variety of cells. Three-dimensional quantitative structure activity relationship (3 D-QSAR), molecular docking and molecular dynamics (MD) methods was carried out on a dataset of Janus kinase 1(JAK 1) inhibitors. Ligands were constructed and docked into the active site of protein using GLIDE 5.6. Best docked poses were selected after analysis for further 3 D-QSAR analysis using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methodology. Employing 60 molecules in the training set, 3 D-QSAR models were generate that showed good statistical reliability, which is clearly observed in terms of r and q values. The predictive ability of these models was determined using a test set of 25 molecules that gave acceptable predictive correlation (r) values. The key amino acid residues were identified by means of molecular docking, and the stability and rationality of the derived molecular conformations were also validated by MD simulation. The good consonance between the docking results and CoMFA/CoMSIA contour maps provides helpful clues about the reasonable modification of molecules in order to design more efficient JAK 1 inhibitors. The developed models are expected to provide some directives for further synthesis of highly effective JAK 1 inhibitors.
Janus激酶1(JAK 1)属于细胞内非受体酪氨酸激酶的JAK家族。JAK-信号转导子和转录激活子(JAK-STAT)途径介导细胞因子的信号传导,细胞因子控制多种细胞的存活、增殖和分化。对一组Janus激酶1(JAK 1)抑制剂进行了三维定量构效关系(3D-QSAR)、分子对接和分子动力学(MD)方法研究。使用GLIDE 5.6构建配体并将其对接至蛋白质的活性位点。分析后选择最佳对接构象,以便使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)方法进行进一步的3D-QSAR分析。利用训练集中的60个分子生成了3D-QSAR模型,这些模型显示出良好的统计可靠性,从r和q值可以明显看出。使用包含25个分子的测试集确定这些模型的预测能力,得到了可接受的预测相关性(r)值。通过分子对接确定关键氨基酸残基,并通过MD模拟验证所得分子构象的稳定性和合理性。对接结果与CoMFA/CoMSIA等高线图之间的良好一致性为分子的合理修饰提供了有用线索,以便设计更有效的JAK 1抑制剂。所开发的模型有望为进一步合成高效JAK 1抑制剂提供一些指导。