.png){kind=icon}
返回
Machine Learning Methods in Drug Discovery
.png){kind=icon}
OA
AI
DOI：10.3390/molecules25225277.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields and industries. In the fields of drug discovery and development, machine learning techniques have been used for the development of novel drug candidates. The methods for designing drug targets and novel drug discovery now routinely combine machine learning and deep learning algorithms to enhance the efficiency, efficacy, and quality of developed outputs. The generation and incorporation of big data, through technologies such as high-throughput screening and high through-put computational analysis of databases used for both lead and target discovery, has increased the reliability of the machine learning and deep learning incorporated techniques. The use of these virtual screening and encompassing online information has also been highlighted in developing lead synthesis pathways. In this review, machine learning and deep learning algorithms utilized in drug discovery and associated techniques will be discussed. The applications that produce promising results and methods will be reviewed.
Keyword:
machine learning
drug discovery
deep learning
in silico screening
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.6
论文数:
6.5W
被引数:
23.7W
机构
引用论文
分享收藏Room temperature synthesis of reduced graphene oxide nanosheets as anode material for supercapacitors室温合成还原氧化石墨烯纳米片作为超级电容器负极材料的研究
PREAI
分享收藏Urinary concentrations of polycyclic aromatic hydrocarbon and phthalate metabolite mixtures in relation to semen quality among men attending an infertility clinic在不育诊所就诊的男性中，多环芳烃和邻苯二甲酸酯代谢物混合物的尿浓度与精液质量的关系
PREAI
分享收藏How to explore chemical space using algorithms and automation如何使用算法和自动化探索化学空间.png)
NATURE REVIEWS CHEMISTRY
NATURE REVIEWS CHEMISTRYIF51.7
PREAI
分享收藏分享收藏
查看更多内容