Li Linfeng, Basavannacharya Chandrakala, Chan Kitti Wing Ki, Shang Luqing, Vasudevan Subhash G, Yin Zheng
College of Pharmacy, State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China.
Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300071, China.
Chem Biol Drug Des. 2015 Sep;86(3):255-64. doi: 10.1111/cbdd.12500. Epub 2015 Feb 4.
Dengue fever is a fast emerging epidemic-prone viral disease caused by dengue virus serotypes 1-4. NS2B-NS3 protease of dengue virus is a validated target to develop antiviral agents. A major limitation in developing dengue virus protease inhibitors has been the lack of or poor cellular activity. In this work, we extracted and refined a pharmacophore model based on X-ray crystal structure and predicted binding patterns, followed by a three-dimensional flexible database filtration. These output molecules were screened according to a docking-based protocol, leading to the discovery of a compound with novel scaffold and good cell-based bioactivity that has potential to be further optimized. The discovery of this novel scaffold by combination of in silico methods suggests that structure-guided drug discovery can lead to the development of potent dengue virus protease inhibitors.
登革热是一种由1-4型登革病毒引起的快速出现的易流行病毒性疾病。登革病毒的NS2B-NS3蛋白酶是开发抗病毒药物的一个经过验证的靶点。开发登革病毒蛋白酶抑制剂的一个主要限制是缺乏细胞活性或细胞活性较差。在这项工作中,我们基于X射线晶体结构和预测的结合模式提取并优化了一个药效团模型,随后进行三维柔性数据库筛选。根据基于对接的方案对这些输出分子进行筛选,从而发现了一种具有新型骨架且具有良好细胞生物活性的化合物,该化合物有进一步优化的潜力。通过计算机辅助方法的结合发现这种新型骨架表明,结构导向的药物发现可以导致开发出有效的登革病毒蛋白酶抑制剂。