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利用网络生物学和分子对接方法研究山核桃植物成分治疗宫颈癌的潜力。

Investigating the potential of Juglans regia phytoconstituents for the treatment of cervical cancer utilizing network biology and molecular docking approach.

机构信息

School of Computational & Integrative Sciences (SCIS), Jawaharlal Nehru University, JNU Campus, New Delhi, India.

Department of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.

出版信息

PLoS One. 2024 Apr 16;19(4):e0287864. doi: 10.1371/journal.pone.0287864. eCollection 2024.

Abstract

The fourth most frequent type of cancer in women and the leading cause of mortality for females worldwide is cervical cancer. Traditionally, medicinal plants have been utilized to treat various illnesses and ailments. The molecular docking method is used in the current study to look into the phytoconstituents of Juglans regia's possible anticancer effects on cervical cancer target proteins. This work uses the microarray dataset analysis of GSE63678 from the NCBI Gene Expression Omnibus database to find differentially expressed genes. Furthermore, protein-protein interactions of differentially expressed genes were constructed using network biology techniques. The top five hub genes (IGF1, FGF2, ESR1, MYL9, and MYH11) are then determined by computing topological parameters with Cytohubba. In addition, molecular docking research was performed on Juglans regia phytocompounds that were extracted from the IMPPAT database versus hub genes that had been identified. Utilizing molecular dynamics, simulation confirmed that prioritized docked complexes with low binding energies were stable.

摘要

宫颈癌是女性中第四常见的癌症类型,也是全球女性死亡的主要原因。传统上,药用植物被用于治疗各种疾病和不适。本研究采用分子对接方法研究胡桃 Juglans regia 的植物成分对宫颈癌靶蛋白的可能抗癌作用。这项工作使用来自 NCBI Gene Expression Omnibus 数据库的 GSE63678 的微阵列数据集分析来寻找差异表达基因。此外,使用网络生物学技术构建差异表达基因的蛋白质-蛋白质相互作用。然后通过计算拓扑参数,使用 Cytohubba 确定前五个枢纽基因(IGF1、FGF2、ESR1、MYL9 和 MYH11)。此外,还针对从 IMPPAT 数据库中提取的胡桃 Juglans regia 植物化合物与已鉴定的枢纽基因进行了分子对接研究。利用分子动力学,模拟证实了具有低结合能的优先对接复合物是稳定的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/11020953/a3e6776e1be9/pone.0287864.g001.jpg

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