药物诱导性毒性的形预测:目前的进展和陷
Na Li1, Juan Shi2, Zhaoyang Chen1
1Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan, China.
使用计算方法预测药物诱导的毒性 (DIN) 正在取得进展. 本次审查强调了需要更好的数据,优化模型和跨学科合作,以提高这些药物安全的in silico工具的准确性.
科学领域:
- 药理学和毒理学 药理学和毒理学
- 计算化学的计算化学
- 生物医学信息学 生物医学信息学
背景情况:
- 脏是药物毒性的首要目标,导致药物诱导性毒性 (DIN).
- 目前评估毒性的方法存在局限性,需要新的方法.
- 在 silico 方法为预测 DIN.提供了有希望的潜力.
研究的目的:
- 审查目前药物诱导毒性预测中的进展和挑战.
- 讨论用于DIN预测的计算模型的原理和方法.
主要方法:
- 使用PubMed和Web of Science进行了全面的文献搜索.
- 该审查涵盖了2013年至2023年2月的出版物.
- 分析重点是计算模型及其在DIN预测中的应用.
主要成果:
- 在in silico DIN预测方面取得了重大进展.
- 关键的挑战包括数据忠实性,模型优化和跨学科合作.
- 机理理解对于提高预测准确度至关重要.
结论:
- 改进in silico DIN预测需要整合多种数据源并促进合作.
- 结合计算,实验和临床方法的整体方法是必不可少的.
- 通过综合战略可以实现对DIN的更好理解和管理.
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