药效团
虚拟筛选
分子动力学
化学
计算生物学
药物发现
对接(动物)
计算机科学
组合化学
立体化学
计算化学
生物化学
生物
医学
护理部
作者
Mariana P. Barcellos,Cleydson B. R. Santos,Leonardo Bruno Federico,Paulo Fernando de Almeida,Carlos Henrique Tomich de Paula da Silva,Carlton A. Taft
标识
DOI:10.1080/07391102.2018.1444511
摘要
We have used docking (GLIDE), pharmacophore modeling (Discovery Studio), long trajectory molecular dynamics (Discovery Studio) and ADMET/Tox (QikProp and DEREK) to investigate PAD4 in order to determine potential novel inhibitors and hits. We have carried out virtual screening in the ZINC natural compounds database. Pharmacokinetics and Toxicity of the best hits were assessed using databases implemented in softwares that create models based on chemical structures taking into account consideration about the toxicophoric groups. A wide variety of pharmaceutical relevant properties are determined in order to make decisions about molecular suitability. After screening and analysis, the 6 most promising PAD4 inhibitors are suggested, with strong interactions (pi-stacking, hydrogen bonds, hydrophobic contacts) and suitable pharmacotherapeutic profile as well.
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