摘要
目的基于计算化学方法,研究呋塞米工艺路线中杂质B的潜在毒性。方法通过分子模拟方法,预测呋塞米工艺路线中杂质B可能影响的蛋白靶标,以及可能引起的毒副作用。结果预测发现,杂质B可能会与碳酸酐酶2、甲状腺素结合球蛋白和巨噬细胞抑制因子结合。该结果可能与呋塞米使用过程中的甲状腺功能亢进有关。结论分子模拟方法可用于研究药物制备过程中杂质的潜在靶标,进而预测其可能引起的毒副作用。
Objective To determine the potential toxicity of the impurity B in furosemide preparation with computation chemistry methods.Methods Target-proteins influenced by impurity were predicted with molecular modeling.Results Three proteins were identified as possible targets for impurity B:carbonic anhydraseⅡ,thyroxine-binding globulin and macrophage migration inhibitory factor.These results might be related to the hyperthyroidism of furosemide usage.Conclusion Molecular modeling helps predict the target of impurities,and evaluate the toxicity.
作者
姜宏宇
王翰洵
王健
JIANG Hong-yu;WANG Han-xun;WANG Jian(School of Pharmaceutical Engineering,Shenyang Pharmaceutical University,Shenyang 110016;Northeast Pharm Inc.,Shenyang 110027)
出处
《中南药学》
CAS
2021年第12期2517-2520,共4页
Central South Pharmacy
关键词
呋塞米
计算化学
靶点识别
毒性预测
furosemide
computational chemistry
target recognition
toxicity prediction