可药性
化学空间
公共化学
表观遗传学
化学
化学信息学
计算生物学
药物发现
药品
化学
药理学
生物
生物信息学
生物化学
基因
作者
Saurabh Loharch,Raman Parkesh
出处
期刊:Future Medicinal Chemistry
[Newlands Press Ltd]
日期:2019-11-01
卷期号:11 (21): 2803-2819
被引量:4
标识
DOI:10.4155/fmc-2019-0096
摘要
Aim: The druggability of epigenetic targets has prompted researchers to develop small-molecule therapeutics. However, no systematic assessment has ever been done to investigate the chemical space of epigenetic modulators. Herein, we report a comprehensive chemoinformatic analysis of epigenetic ligands from EpiDBase, HEMD, ChEMBL and PubChem databases. Results: Nearly, 0.45 × 10 6 ligands were analyzed for assay interference compounds, target profiling, drug-like properties and hit prioritization. After eliminating approximately 96,000 problematic compounds, the remaining 0.36 × 10 6 compounds were studied for their physicochemical distributions, principal component analysis and hit prioritization. More than 30% of assay interference compounds were determined for many proteins. Conclusion: This systematic assessment of epigenetic ligands will help in the enrichment of screening libraries with high-quality compounds and thus, the generation of efficacious drug candidates.
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