期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到2篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
AI and natural medicines 认领 引用
1
作者 Xiaohui Fan 《Chinese Journal of Natural Medicines》 SCIE CAS CSCD 2025年第11期1281-1282,共2页
Natural products(NPs)derived from plants,microbes,and marine organisms have historically been a cornerstone of pharmacotherapy,accounting for approximately 35%of FDA-approved small-molecule drugs since 19811.These com... Natural products(NPs)derived from plants,microbes,and marine organisms have historically been a cornerstone of pharmacotherapy,accounting for approximately 35%of FDA-approved small-molecule drugs since 19811.These compounds have been instrumental in drug discovery,particularly for cancer and infectious diseases,as well as in other therapeutic areas such as cardiovascular diseases(e.g.,statins)and multiple sclerosis(e.g.,fingolimod). 展开更多
关键词 natural products nps derived drug discoveryparticularly marine organisms natural medicines AI multiple sclerosis egfingolimod microbes natural products
暂未订购 下载PDF
DeepSeek in drug discovery:Comparing strengths,ethical constraints,and envisioning the future 认领 引用
2
作者 Shahab Saquib Sohail 《Intelligent Medicine》 EI CSCD 2026年第3期358-358,共1页
To the Editor:The recently published correspondence by Farhat[1]is a timely and welcome contribution to the intersection of artificial intelligence(AI)and biomedical research.For the interdisciplinary field of AI and ... To the Editor:The recently published correspondence by Farhat[1]is a timely and welcome contribution to the intersection of artificial intelligence(AI)and biomedical research.For the interdisciplinary field of AI and health-care,I found the article encouraging and thought-provoking.The author admirably emphasizes the potential of DeepSeek-R1 to transform drug discovery,particularly by highlighting its unique mix-ture of experts and chain of thought frameworks that reportedly outper-form proprietary models such as ChatGPT-4o in tasks such as protein-ligand interaction prediction.These insights open a fruitful discourse on domain-specific optimization in large language models for biomedical applications. 展开更多
关键词 deepseek proprietary models suc drug discovery large language models chain thought frameworks drug discoveryparticularly biomedical researchfor artificial intelligence
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈