摘要
提出了一种利用SMILES码构建虚拟组合化学库的新方法。该方法用SMILES码代表骨架和侧链,通过对其进行排列组合生成虚拟组合化学库。用户可设定ADME筛选条件对生成的库进行初筛,以舍弃在理论上药代动力学行为不好的分子。该法通过构建一个抗2型糖尿病药物虚拟组合化学库(A2DDVCL)而得到了验证。A2DDVCL建立在过氧化物酶增殖体活化受体(PPAR)配体的基础上,拟从其中发现治疗慢性代谢疾病特别是2型糖尿病的药物。
This article brings forward a new method for constructing virtual combinatorial library by SMILES. Backbone and sidechains were denoted by SMILES, and they were permutated and combinated to form virtual combinatorial library. The users could set ADME filters to discard molecules which may have bad pharmacokinetics behaviors. This method was verified by constructing an Anti Type 2 Diabetic Drug Virtual Combinatorial Library (A2DDVCL) which based on the ligands of Peroxisome Proliferator-Activated Receptors (PPAR) , a nuclear receptor.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2005年第4期247-252,共6页
Computers and Applied Chemistry
基金
国家十五重大科技专项"创新药物与中药现代化"资助项目(2002AA223146)3项国家863资助项目(2002AA234041
2002AA234021
2002AAl04270)广东省2002年重大项目招标中标项目(2002-108)