如何加速药物发现:整合创新方法加速现代药物开发
Nail Besli1, Nilufer Ercin2, Ulkan Celik3
1. beslinail@gmail.com.
Acta chimica Slovenica
|October 6, 2025
概括
现代药物发现使用生物信息学,人工智能 (AI) 和高通量查 (HTS) 来加快开发速度和降低成本. 这些技术改善了目标识别,引优化和更有效药物的临床前测试.
科学领域:
- 药理学和计算生物学
背景情况:
- 传统的药物发现是耗时和昂贵的.
- 创新的方法正在彻底改变这一过程.
研究的目的:
- 审查现代技术如何加速药物发现和开发.
- 突出这些创新的降低成本的好处.
主要方法:
- 生物信息学,人工智能 (AI) 和高通量选 (HTS) 的协同整合.
- 在优化中利用AI进行预测建模和机器学习 (ML).
- 运用计算化学和分子动力学模拟来进行药物向相互作用分析.
- 整合临床前试验的疗效,药理动力学和安全性评估.
主要成果:
- 生物信息学可以有效地识别和验证药物标.
- 人工智能显著减少了化合物识别和优化的时间.
- 对于潜在的药物候选者,HTS迅速选复合物库.
- 由人工智能驱动的方法提高了早期决策,并最大限度地减少了实验失败.
- 计算方法为药物向相互作用提供了更深入的见解.
结论:
- 像人工智能,生物信息学和HTS这样的现代技术对于高效和成本效益的药物发现至关重要.
- 这些综合方法加快了有效和更安全的药物的开发.
- 该审查强调了对未来研究和临床应用的重大影响.
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