摘要
以18种文献报道的脱乙酰基酶(UDP-3-O-(R-3-hyrdoxymyristoyl)-N-acetyl glucosamine,LpxC)抑制剂作为训练集,用Discovery Studio3.0构建了LpxC抑制剂的三维药效团模型,所得的最优药效团Hyphothesis1具有较好的预测性和置信度。用该药效团模型对SPECS数据库进行搜索,从中选取打分值较高的化合物对接到LpxC活性位点,根据PLP1打分函数筛选出15个打分较高的化合物,为设计抗革兰氏阴性菌的新型LpxC抑制剂提供了理论参考。
3D QSAR Pharmacophores of UDP-3-O-(R-3-hyrdoxymyristoyl)-N-acetyl glucosamine(LpxC)inhibitors were built using Discovery Studio 3.0with a training set consisted of 18 LpxC inhibitors reported,in which hypothesis1 showed considerable qualities of both predictability and confidence as a most pharmacophore.High scored compounds were gained through a screening by SPECS database,hypothesis1 filtered,then further docked into active site of a LpxC crystal structure where 15 compounds of the highest score were obtained based on PLP1 scoring function,led to improved novel drug design for LpxC inhibitors against Gram negatives.
出处
《青岛大学学报(自然科学版)》
CAS
2016年第2期40-45,共6页
Journal of Qingdao University(Natural Science Edition)