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基于计算的铁死亡相关基因分析及其在氟中毒药物预测中的应用

In Silico Analysis of Ferroptosis-Related Genes and Its Implication in Drug Prediction against Fluorosis.

机构信息

Department of Environmental Health, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.

出版信息

Int J Mol Sci. 2023 Feb 20;24(4):4221. doi: 10.3390/ijms24044221.

Abstract

Fluorosis is a serious global public health problem. Interestingly, so far, there is no specific drug treatment for the treatment of fluorosis. In this paper, the potential mechanisms of 35 ferroptosis-related genes in U87 glial cells exposed to fluoride were explored by bioinformatics methods. Significantly, these genes are involved in oxidative stress, ferroptosis, and decanoate CoA ligase activity. Ten pivotal genes were found by the Maximal Clique Centrality (MCC) algorithm. Furthermore, according to the Connectivity Map (CMap) and the Comparative Toxicogenomics Database (CTD), 10 possible drugs for fluorosis were predicted and screened, and a drug target ferroptosis-related gene network was constructed. Molecular docking was used to study the interaction between small molecule compounds and target proteins. Molecular dynamics (MD) simulation results show that the structure of the Celestrol-HMOX1 composite is stable and the docking effect is the best. In general, Celastrol and LDN-193189 may target ferroptosis-related genes to alleviate the symptoms of fluorosis, which may be effective candidate drugs for the treatment of fluorosis.

摘要

氟中毒是一个严重的全球公共卫生问题。有趣的是,到目前为止,还没有专门针对氟中毒的药物治疗方法。本文采用生物信息学方法,探讨了氟暴露的 U87 神经胶质细胞中 35 个与铁死亡相关的基因的潜在作用机制。这些基因显著参与氧化应激、铁死亡和癸酰辅酶 A 连接酶活性。最大团中心度(MCC)算法发现了 10 个关键基因。此外,根据连接图谱(CMap)和比较毒理学基因组数据库(CTD),预测和筛选了 10 种可能用于氟中毒的药物,并构建了一个药物靶标铁死亡相关基因网络。分子对接用于研究小分子化合物与靶蛋白的相互作用。分子动力学(MD)模拟结果表明,Celestrol-HMOX1 复合物的结构稳定,对接效果最佳。总的来说,Celastrol 和 LDN-193189 可能通过靶向铁死亡相关基因来缓解氟中毒症状,它们可能是治疗氟中毒的有效候选药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb2f/9961266/ac7bf959510b/ijms-24-04221-g001.jpg

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