Francis Sandrea M, Mittal Amit, Sharma Manishika, Bharatam Prasad V
Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Sector-67, S.A.S. Nagar, 160 062 Punjab, India.
J Mol Model. 2008 Mar;14(3):215-24. doi: 10.1007/s00894-007-0263-y. Epub 2008 Jan 12.
Selective inhibition of inducible nitric oxide synthases (iNOS) has been a challenging problem for researchers pursuing work in finding methods to treat inflammatory disorders, shock, etc. Though many inhibitors have been studied to date, all are associated with selectivity or potency problems. Additionally, most of the reported compounds have several similarities and fewer number of novel structures are being tried. There is an increasing need to design novel molecules for this target. In this work, de novo design using LUDI, combined with docking analysis using FlexX has been employed in an attempt to identify novel scaffolds. Benzene-1,2-diamines were identified which could mimic the interactions of the substrate analogs and other inhibitors. Comparative docking scores in each of the isoforms of nitric oxide synthase were employed to recognize hits for iNOS selectivity.
对于致力于寻找治疗炎症性疾病、休克等方法的研究人员来说,选择性抑制诱导型一氧化氮合酶(iNOS)一直是一个具有挑战性的问题。尽管迄今为止已经研究了许多抑制剂,但它们都存在选择性或效力问题。此外,大多数报道的化合物都有一些相似之处,尝试的新结构数量较少。因此,越来越需要针对这个靶点设计新型分子。在这项工作中,采用了使用LUDI进行从头设计,并结合使用FlexX进行对接分析,以试图识别新型骨架。确定了苯-1,2-二胺,其可以模拟底物类似物和其他抑制剂的相互作用。利用一氧化氮合酶各同工型的比较对接分数来识别iNOS选择性的命中物。