计算毒理学的研究趋势:一个图书识别分析
Fatemeh Yarmohammadi1, A Wallace Hayes2, Gholamreza Karimi3,4
1Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Toxicology research
|September 23, 2024
概括
计算毒理学,使用先进的计算方法,如AI,已经看到显著的研究增长. 这个领域提炼了用于准确化学毒性评估的预测模型.
科学领域:
- 计算毒理学计算毒理学
- 化学信息学 化学信息学
- 毒理学 毒理学 毒理学
背景情况:
- 计算毒理学使用计算机模型进行化学毒性预测.
- 图书计量评估科学研究领域的影响和趋势.
研究的目的:
- 在毒性评估中对计算方法进行文献分析.
- 追踪计算毒理学研究的演变和影响.
主要方法:
- 从1977年到2024年对出版物的图书统计分析.
- 数据来源于科学网络数据库的数据.
主要成果:
- 观察到计算毒理学方法的显著演变.
- 越来越多地使用先进的技术,如机器学习,分子对接和深度学习.
- 人工智能提高了毒性预测的准确性和效率.
结论:
- 在计算毒理学领域的研究成果大幅增加.
- 越来越多的人对复杂的预测建模对药物性能优化感兴趣.
- 专注于使用pkCSM等工具来完善预测准确度.
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