对CYP450介导药物代谢的in silico预测工具的比较和摘要
Jingchen Zhai1, Viet Hoang Man1, Beihong Ji1
1Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261, USA.
本综述评估了用于预测细胞染色体P450 (CYP450) 药物相互作用的in silico工具. 在识别CYP抑制剂方面,ADMET预测器和CYPlebrity表现最好.
科学领域:
- 生物化学 生物化学
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
背景情况:
- 细胞染色体P450 (CYP450) 酶系统对于将超过三分之二的异生菌代谢至关重要.
- 了解CYP450酶与药物相互作用对于药物发现和开发至关重要.
研究的目的:
- 审查和评估用于预测CYP450酶药物相互作用的in silico工具.
- 评估工具在预测代谢部位 (SOM) 和识别CYP抑制剂/基质方面的性能.
主要方法:
- 关于in silico CYP450预测工具的综合文献综述.
- 评估四个选定的预测工具,使用52种经常被处方的药物来识别CYP抑制剂.
主要成果:
- 在预测CYP抑制剂方面,ADMET预测器和CYPlebrity表现出卓越的性能.
- 该研究确定了用于预测药物代谢和相互作用的关键in silico平台.
结论:
- 选择合适的in silico工具对于药物化学家来说至关重要,以优先考虑候选药物.
- 准确的in silico预测可以在药物发现的早期阶段显著帮助,减少开发时间和成本.
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