Suppr超能文献

识别治疗新冠病毒常用药物的副作用。

Identifying side effects of commonly used drugs in the treatment of Covid 19.

机构信息

Department of Software Engineering, Celal Bayar University, Manisa, Turkey.

Department of Computer Engineering, Fırat University, Elazığ, Turkey.

出版信息

Sci Rep. 2020 Dec 9;10(1):21508. doi: 10.1038/s41598-020-78697-1.

Abstract

To increase the success in Covid 19 treatment, many drug suggestions are presented, and some clinical studies are shared in the literature. There have been some attempts to use some of these drugs in combination. However, using more than one drug together may cause serious side effects on patients. Therefore, detecting drug-drug interactions of the drugs used will be of great importance in the treatment of Covid 19. In this study, the interactions of 8 drugs used for Covid 19 treatment with 645 different drugs and possible side effects estimates have been produced using Graph Convolutional Networks. As a result of the experiments, it has been found that the hematopoietic system and the cardiovascular system are exposed to more side effects than other organs. Among the focused drugs, Heparin and Atazanavir appear to cause more adverse reactions than other drugs. In addition, as it is known that some of these 8 drugs are used together in Covid-19 treatment, the side effects caused by using these drugs together are shared. With the experimental results obtained, it is aimed to facilitate the selection of the drugs and increase the success of Covid 19 treatment according to the targeted patient.

摘要

为了提高新冠肺炎治疗的成功率,许多药物建议被提出,并在文献中分享了一些临床研究。已经有一些尝试将这些药物中的一些联合使用。然而,同时使用多种药物可能会对患者造成严重的副作用。因此,检测新冠肺炎治疗中使用的药物之间的药物相互作用将非常重要。在这项研究中,使用图卷积网络生成了用于新冠肺炎治疗的 8 种药物与 645 种不同药物的相互作用和可能的副作用估计。通过实验发现,造血系统和心血管系统比其他器官更容易受到副作用的影响。在关注的药物中,肝素和阿扎那韦似乎比其他药物引起更多的不良反应。此外,由于已知这些 8 种药物中的一些在新冠肺炎治疗中联合使用,因此会共同产生这些药物联合使用引起的副作用。通过获得的实验结果,旨在根据目标患者选择药物并提高新冠肺炎治疗的成功率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b50c/7725770/f23aeb4d6088/41598_2020_78697_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验