药物发现中的人工智能:一个图书识别分析和文献综述
Baoyu He1, Jingjing Guo1, Henry H Y Tong1
1Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
药物发现中的人工智能 (AIDD) 正在迅速扩大,自2017年以来呈现出显著增长. 这项研究突出了AIDDD的重点.
科学领域:
- 计算化学是一种计算化学.
- 生物信息学是一种生物信息学.
- 药理学 药理学是指药理学的学科.
背景情况:
- 药物发现是一个复杂,漫长和昂贵的过程.
- 人工智能 (AI) 为简化药物发现提供了潜在的解决方案.
- 了解AI在药物发现 (AIDD) 中的趋势和结构至关重要.
研究的目的:
- 分析人工智能在药物发现中的图书统计趋势和研究格局.
- 在AIDD中确定关键的国家,机构和研究前沿.
- 为研究人员,从业人员和决策者提供全面的概述.
主要方法:
- 对4310篇Scopus索引的文章和评论进行了图书统计分析.
- 使用VOSviewer进行关键词并发分析.
- 过去二十年研究成果的趋势分析.
主要成果:
- AIDD的研究已经呈指数级增长,特别是在2017年之后.
- 领先的国家包括美国,中国和英国.
- 主要机构是中国科学院和剑桥大学;工业贡献也很重要.
- VOSviewer的分析揭示了关键的研究前沿以及AIDD的跨学科性质.
结论:
- AIDD是一个快速增长的跨学科领域,在药物发现方面具有革命性的潜力.
- 持续的投资和合作对于加速药物发现,降低成本和改善患者治疗结果至关重要.
- 这项研究为AIDD的当前状态和未来方向提供了宝贵的见解.
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