虚拟筛选
药物发现
药理学
计算生物学
医学
计算机科学
化学
生物
生物化学
作者
Yuwei Wang,Shuai Tang,Huanling Lai,Ruyi Jin,Long Xu,Na Li,Yuping Tang,Hui Guo,Xiaojun Yao,Elaine Lai‐Han Leung
标识
DOI:10.3389/fphar.2020.579768
摘要
IDH1 mutations occur in about 20-30% of gliomas and are a promising target for the treatment of cancer. In the present study, the performance of aIDH1R132H was verified via glide-docking-based virtual screening. On the basis of the two crystal structures (5TQH and 6B0Z) with the best discriminating ability to identify IDH1R132H inhibitors from a decoy set, a docking-based virtual screening strategy was employed for identifying new IDH1R132H inhibitors. In the end, 57 structurally diverse compounds were reserved and evaluated through experimental tests, and 10 of them showed substantial activity in targeting IDH1R132H (IC50 < 50 μM). Molecular docking technology showed that L806-0255, V015-1671, and AQ-714/41674992 could bind to the binding pocket composed of hydrophobic residues. These findings indicate that L806-0255, V015-1671, and AQ-714/41674992 have the potential as lead compounds for the treatment of IDH1-mutated gliomas through further optimization.
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