改善了口服药物生物可用性的in-silico预测
1Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
口服生物利用率的in silico预测对于药物开发至关重要. 最近在建模,数据库和人工智能的进步提高了选择候选药物的预测准确性.
科学领域:
- 药理动力学和药物新陈代谢
- 计算化学和化学信息学
背景情况:
- 对口服药物吸收和生物可用性的高通量查已取得显著进展.
- 在Silico预测仍然对评估口服生物可用性和指导候选药物选择至关重要.
研究的目的:
- 审查最近的改进和用于预测口服生物利用性的新型建模方法.
- 突出在in silico预测工具和PBPK模型中的进步.
主要方法:
- 在PubMed的文献搜索中,重点是过去15年.
- 对 in silico 口服生物可用性预测方法的分析.
主要成果:
- 许多努力已经产生了可靠的预测工具,用于口服生物可用性.
- 越来越多地使用基于网络的工具和基于生理学的药理动力学 (PBPK) 模型.
- 增强的数据库和计算能力提高了预测准确度.
结论:
- 对于有效的候选药物选择,in silico方法是必不可少的.
- 数据和计算资源的持续改进将进一步完善预测.
- 人工智能整合有望提高药物开发中的预测能力.
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