毒理学和药物动力学性质预测的计算方法
Navid Kaboudi1, Tara Shekari2, Ali Shayanfar3,4
1Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. navid.kbd@gmail.com.
本综述探讨了用于预测药物动力学的体方法. 使用计算方法可以通过早期评估吸收,分布,新陈代谢和排泄来简化药物开发.
科学领域:
- 药理学
- 毒理学
- 计算化学
背景情况:
- 药物动力学 (PK) 和毒理学对于了解身体如何处理药物至关重要.
- 关键的药理学参数包括吸收,分布,新陈代谢和分泌 (ADME).
- 传统的药理学和毒理学评估方法包括体内,体外和内方法.
研究的目的:
- 审查和巩固使用in-silico方法的现有研究.
- 突出计算方法在预测药物动力学属性的有用性.
- 强调在早期药物开发中使用in-silico方法的潜力.
主要方法:
- 用计算 (in-silico) 模型进行文献搜索.
- 用于预测药物动力学参数的方法分析.
- 综合了各种内药理学研究的结果.
主要成果:
- 体方法为预测药物动力学性质提供了可行的替代方案.
- 计算方法可以加快潜在药物候选者的识别.
- 这些方法有助于减少临床前和临床试验相关的时间和成本.
结论:
- 在内药动力学预测是现代药物发现的宝贵工具.
- 使用计算模型早期预测ADME特性可以显著降低药物开发的风险.
- 为了更广泛的应用,需要进一步开发和验证in-silico工具.
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