Wadhwa Pankaj, Jain Priti, Jadhav Hemant R
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani campus, Vidya Vihar, Pilani - 333 031, Rajasthan, India.
Curr Comput Aided Drug Des. 2015;11(4):346-52. doi: 10.2174/1573409912666151124233628.
Flap endonuclease-I (FEN-1) is involved in DNA repair and considered to be a novel target for the development of anticancer agents. N-hydroxy urea derivatives have been reported as FEN-1 inhibitors. To derive in vitro and in silico correlation, we have performed 2D-quantitative structure activity relationship (QSAR) analysis and docking studies on these compounds. 2D-QSAR models were developed using multiple linear regression (MLR) analysis and cross-validation using leave one out (LOO) method. The best model displayed R(2) of 0.806 and Q(2) of 0.607. Docking study revealed key interactions with desired amino acids and compare well with the in vitro potency of the reported compounds. Both studies reveal a link between FEN-1 inhibition and physicochemical descriptors or interactions with amino acids in active site. The information generated is first of its kind and may be helpful in the design of novel FEN-1 inhibitors.
瓣内切核酸酶-I(FEN-1)参与DNA修复,被认为是开发抗癌药物的新靶点。据报道,N-羟基脲衍生物是FEN-1抑制剂。为了建立体外和计算机模拟的相关性,我们对这些化合物进行了二维定量构效关系(QSAR)分析和对接研究。使用多元线性回归(MLR)分析和留一法(LOO)交叉验证建立了二维QSAR模型。最佳模型的R(2)为0.806,Q(2)为0.607。对接研究揭示了与所需氨基酸的关键相互作用,与报道化合物的体外效力比较良好。两项研究都揭示了FEN-1抑制与物理化学描述符或与活性位点氨基酸相互作用之间的联系。所产生的信息尚属首次,可能有助于新型FEN-1抑制剂的设计。