生物激活和反应性研究的进展 - 2022年在审查中‡‡
Shuai Wang1, Upendra A Argikar2, Lionel Cheruzel1
1Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, CA, USA.
Drug metabolism reviews
|August 23, 2023
概括
药物代谢和生物激活技术的进步,包括机器学习和人工智能,正在加速新药的开发. 这些创新提高了药物分析的准确性和相关性,有助于患者治疗.
科学领域:
- 药理学 药理学是指药理学的学科.
- 毒理学 毒理学 毒理学
- 生物化学 生物化学
背景情况:
- 药物代谢和生物激活领域在过去50年中取得了重大进展.
- 硬件,软件,机器学习 (ML) 和人工智能 (AI) 的技术进步一直是这一进步的主要驱动力.
- 杂志"药物代谢与处置" (Drug Metabolism and Disposition) 正在庆祝其50周年,强调了该领域的演变.
研究的目的:
- 审查药物代谢和生物激活技术的指数级进步.
- 突出综合技术方法对了解药物生物活化途径和毒性的影响.
- 强调这些进步在为未满足的医疗需求开发新疗法方面的作用.
主要方法:
- 液体色谱-质谱 (LC-MS) 平台的演变.
- 改进了自动化,以提高测试的准确性,精度和吞吐量.
- 用各种试剂和生物基质生成和处理样本的进步.
- 在传统方法之外,应用*in silico*平台,包括ML和AI.
主要成果:
- 持续发展的LC-MS平台支持药物代谢的关键应用.
- 自动化正在提高辅助测试的效率和可靠性.
- 与传统方法相结合的*in silico*工具正在显著改善对生物活化途径及其在毒性中的作用的理解.
结论:
- 技术整合,包括AI和ML,对于推进药物代谢和生物激活研究至关重要.
- 对生物活化途径的更好理解有助于预测和减轻药物毒性.
- 这些集体进步有助于为有关键或未满足需求的患者开发改进的药物.
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