Yadav Dharmendra K, Kumar Surendra, Misra Sanjeev, Yadav Lalit, Teli Mahesh, Sharma Praveen, Chaudhary Sandeep, Kumar Naresh, Choi Eun Ha, Kim Hyung Sik, Kim Mi-Hyun
College of Pharmacy, Gachon University of Medicine and Science, 191, Hambangmoe-ro, Yeonsu-gu, Incheon, 21936, Republic of Korea.
Department of Biochemistry, All India Institute of Medical Science, Jodhpur, Rajasthan, 342005, India.
Sci Rep. 2018 Mar 19;8(1):4777. doi: 10.1038/s41598-018-22972-9.
SIRT6 and COX-2 are oncogenes target that promote the expression of proinflammatory and pro-survival proteins through a signaling pathway, which leads to increased survival and proliferation of tumor cells. However, COX-2 also suppresses skin tumorigenesis and their relationship with SIRT6, making it an interesting target for the discovery of drugs with anti-inflammatory and anti-cancer properties. Herein, we studied the interaction of thieno[3,2-c]pyran analogs and RONS species with SIRT6 and COX-2 through the use of molecular docking and molecular dynamic simulations. Molecular docking studies revealed the importance of hydrophobic and hydrophilic amino acid residues for the stability. The molecular dynamics study examined conformational changes in the enzymes caused by the binding of the substrates and how those changes affected the stability of the protein-drug complex. The average RMSD values of the backbone atoms in compounds 6 and 10 were calculated from 1000 ps to 10000 ps and were found to be 0.13 nm for both compounds. Similarly, the radius of gyration values for compounds 6 and 10 were found to be 1.87 ± 0.03 nm and 1.86 ± 0.02 nm, respectively. The work presented here, will be of great help in lead identification and optimization for early drug discovery.
SIRT6和COX - 2是癌基因靶点,它们通过一条信号通路促进促炎和促生存蛋白的表达,这会导致肿瘤细胞的存活和增殖增加。然而,COX - 2也抑制皮肤肿瘤发生及其与SIRT6的关系,使其成为发现具有抗炎和抗癌特性药物的一个有趣靶点。在此,我们通过分子对接和分子动力学模拟研究了噻吩并[3,2 - c]吡喃类似物和活性氧氮物种与SIRT6和COX - 2的相互作用。分子对接研究揭示了疏水和亲水氨基酸残基对稳定性的重要性。分子动力学研究考察了底物结合引起的酶构象变化以及这些变化如何影响蛋白质 - 药物复合物的稳定性。化合物6和10中主链原子的平均均方根偏差值在1000 ps至10000 ps范围内计算得出,发现这两种化合物的值均为0.13 nm。同样,化合物6和10的回转半径值分别为1.87±0.03 nm和1.86±0.02 nm。本文所呈现的工作将对早期药物发现中的先导物识别和优化有很大帮助。