Ananthula Ravi Shekar, Ravikumar Muttineni, Pramod A B, Madala Kishore Kumar, Mahmood S K
BioCampus, GVKBIO S-1, Phase-1, Technocrats Industrial Estate, Balanagar, Hyderabad, Andhra Pradesh 500037, India.
J Mol Graph Model. 2008 Nov;27(4):546-57. doi: 10.1016/j.jmgm.2008.09.007. Epub 2008 Sep 20.
This paper describes the generation of ligand-based as well as structure-based models and virtual screening of less toxic P-selectin receptor inhibitors. Ligand-based model, 3D-pharmacophore was generated using 27 quinoline salicylic acid compounds and is used to retrieve the actives of P-selectin. This model contains three hydrogen bond acceptors (HBA), two ring aromatics (RA) and one hydrophobic feature (HY). To remove the toxic hits from the screened molecules, a counter pharmacophore model was generated using inhibitors of dihydrooratate dehydrogenase (DHOD), an important enzyme involved in nucleic acid synthesis, whose inhibition leads to toxic effects. Structure-based models were generated by docking and scoring of inhibitors against P-selectin receptor, to remove the false positives committed by pharmacophore screening. The combination of these ligand-based and structure-based virtual screening models were used to screen a commercial database containing 538,000 compounds.
本文描述了基于配体和基于结构的模型的生成以及低毒P-选择素受体抑制剂的虚拟筛选。基于配体的模型,即三维药效团,是使用27种喹啉水杨酸化合物生成的,并用于检索P-选择素的活性物质。该模型包含三个氢键受体(HBA)、两个环芳烃(RA)和一个疏水特征(HY)。为了从筛选出的分子中去除有毒的命中物,使用二氢乳清酸脱氢酶(DHOD)抑制剂生成了一个反药效团模型,DHOD是参与核酸合成的一种重要酶,其抑制会导致毒性作用。通过将抑制剂与P-选择素受体进行对接和评分生成基于结构的模型,以去除药效团筛选产生的假阳性。这些基于配体和基于结构的虚拟筛选模型相结合,用于筛选一个包含538,000种化合物的商业数据库。