Showing 281 - 300 results of 540 for search '"protein interactions"', query time: 0.06s Refine Results
  1. 281

    An Investigation of the Anticancer Mechanism of <i>Caesalpinia sappan</i> L. Extract Against Colorectal Cancer by Integrating a Network Pharmacological Analysis and Experimental Va... by Mibae Jeong, Jaemoo Chun, Sang-Min Park, Heerim Yeo, Se Won Na, In Jin Ha, Bonglee Kim, Mi-Kyung Jeong

    Published 2025-01-01
    “…The network pharmacological approach identified 87 overlapping genes between CSE targets and CRC-related genes, with protein–protein interaction analysis highlighting 33 key target genes. …”
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    Article
  2. 282

    Identification and Expression Analysis of Sugar Transporter Gene Family in Aspergillus oryzae by Gongbo Lv, Chunmiao Jiang, Tiantian Liang, Yayi Tu, Xiaojie Cheng, Bin Zeng, Bin He

    Published 2020-01-01
    “…Furthermore, expression profiles of AoSUT genes under salt stress showed that AoSUT genes may be closely linked to salt tolerance and involved in sophisticated transcriptional process. The protein-protein interaction network of AoSUT propounded some potentially interacting proteins. …”
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    Article
  3. 283

    Alzheimer’s disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function by Akiko Yamakawa, Mutsumi Suganuma, Risa Mitsumori, Shumpei Niida, Kouichi Ozaki, Daichi Shigemizu

    Published 2025-01-01
    “…Pathway analyses using these DEGs, followed by protein–protein interaction network analysis, revealed key roles of ribosomal function in MCI progression, whereas immune responses, cell cycle, and protein processing in endoplasmic reticulum were involved in AD progression. …”
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    Article
  4. 284

    Identification of the Key Genes and Pathways in Esophageal Carcinoma by Peng Su, Shiwang Wen, Yuefeng Zhang, Yong Li, Yanzhao Xu, Yonggang Zhu, Huilai Lv, Fan Zhang, Mingbo Wang, Ziqiang Tian

    Published 2016-01-01
    “…Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and protein-protein interaction (PPI) network construction were performed to obtain the biological roles of DEGs in EC. …”
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    Article
  5. 285

    Proteomic analysis reveals the difference between the spermatozoa of young and old Sus scrofa by Shuhao Fan, Fan Xie, Qianqian Wang, Haibo Ye, Yali Tian, Yangguang Liu, Huibin Zhang, Xianrui Zheng, Zongjun Yin, Xiaodong Zhang

    Published 2025-01-01
    “…KEGG enrichment analysis demonstrated that the differential proteins predominantly resided within the ribosome pathway. A protein-protein interaction (PPI) network was constructed to identify core proteins such as Small ribosomal subunit protein uS7 (RPS5). …”
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    Article
  6. 286

    A multilayered regulatory network mediated by protein phosphatase 4 controls carbon catabolite repression and de-repression in Magnaporthe oryzae by Zhicheng Huang, Qing Wang, Yan Li, Pengyun Huang, Jian Liao, Jing Wang, Hui Li, Yingying Cai, Jiaoyu Wang, Xiaohong Liu, Fu-Cheng Lin, Jianping Lu

    Published 2025-01-01
    “…We demonstrate that the protein phosphatase 4 complex (Pp4c and Smek1 subunits), the AMP-activated protein kinase (AMPK) Snf1, and the transcriptional regulators CreA (repressor) and Crf1 (activator) collaboratively regulate the utilization of non-preferred carbon sources. Protein interaction and phosphorylation analyses reveal that under glucose-rich conditions, Snf1 and Smek1 directly regulate the phosphorylation status of CreA and Crf1. …”
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    Article
  7. 287

    Network pharmacology-based screening of the active ingredients and mechanisms of Cymbaria daurica against diabetes mellitus by Ruyu Shi, Dongxue Chen, Mingyue Ji, Baochang Zhou, Ziyan Zhang, Chunhong Zhang, Minhui Li

    Published 2023-11-01
    “…Based on data mining techniques involving topological parameters, gene ontology, and pathway enrichment, we established a compound-target, protein-protein interaction, and target-pathway network to identify central targets and pathways. …”
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    Article
  8. 288

    STAT1, IGF1, RAC1, and MDM2 Are Associated with Recurrence of Giant Cell Tumor of Bone by Shuxin Chen, Zepeng Du, Bingli Wu, Huiyang Shen, Chunpeng Liu, Xueli Qiu, Yufeng Zhang, Liyan Xu, Enmin Li, Zhigang Zhong

    Published 2018-01-01
    “…The correlation between the expression of these four genes and clinical characteristics was evaluated. Protein-protein interaction (PPI) network was constructed for functional enrichment analysis. …”
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    Article
  9. 289

    Identifying preeclampsia-associated key module and hub genes via weighted gene co-expression network analysis by Jie Li, Lingling Jiang, Haili Kai, Yang Zhou, Jiachen Cao, Weichun Tang

    Published 2025-01-01
    “…Next, the search tool for the retrieval of interacting genes database (STRING) was adopted to structure the protein-protein interaction (PPI) of genes in the hub module. Furthermore, the MCODE plug-in was applied to discern hub clusters of the PPI network. …”
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    Article
  10. 290

    Combination of triciribine and p38 MAPK inhibitor PD169316 enhances the differentiation effect on myeloid leukemia cells. by Yuri Sato-Nagaoka, Susumu Suzuki, Souma Suzuki, Shinichiro Takahashi

    Published 2024-01-01
    “…Pathway analysis using DAVID software indicated that "viral protein interaction with cytokine and cytokine receptor" and "cytokine-cytokine receptor interaction" were enriched with high significance. …”
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    Article
  11. 291

    Identification of Key Genes and Pathways Involved in Circulating Tumor Cells in Colorectal Cancer by Ruijun Pan, Chaoran Yu, Yanfei Shao, Hiju Hong, Jing Sun, Zhou Zhang, Peiyong Li, Minhua Zheng

    Published 2022-01-01
    “…For identification of key genes and pathways, GSE31023, contained CTCs from six metastatic CRC patients and three controls, was retrieved for differentially expressed gene (DEG) analysis. Protein-protein interaction networks of DEGs were constructed. Hub genes from the network were prognostic analyzed, as well as the association with tumor-infiltrating immune cells. …”
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    Article
  12. 292
  13. 293

    Network Pharmacology and Molecular Docking Analyses of the Synergistic Mechanism of Babao Dan and Oxaliplatin in Colorectal Cancer by TAN Jingzhuang, HE Yanbin, HUANG Bin, LIN Jiumao

    Published 2022-06-01
    “…After the intersection and mapping of drugs and disease, the protein-protein interaction (PPI) network and core targets were obtained using STRING database and CytoScape software. …”
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    Article
  14. 294

    Identification and Validation of a Potential Stemness-Associated Biomarker in Hepatocellular Carcinoma by Yangyang Zhang, Ruike Zhang, Lingxiu Zeng, Haizhou Wang, Ruyi Peng, Meng Zhang, Hailin Zhang, Zhenwei Yang, Liping Gao, Meng Wang, Jing Liu

    Published 2022-01-01
    “…Weighted gene coexpression network analysis (WGCNA) and the protein-protein interaction (PPI) network were performed, and the genes were screened through the Cytoscape software. …”
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    Article
  15. 295

    Exploration of the Potential Mechanisms of Wumei Pill for the Treatment of Ulcerative Colitis by Network Pharmacology by Jinke Huang, Yijun Zheng, Jinxin Ma, Jing Ma, Mengxiong Lu, Xiangxue Ma, Fengyun Wang, Xudong Tang

    Published 2021-01-01
    “…Based on the identified overlapping common targets, drug-ingredient-target gene network, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and protein-protein interaction (PPI) analysis were conducted. Molecular docking was carried out to verify the selected key active ingredients and core targets. …”
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    Article
  16. 296

    Identification of Differentially Expressed Genes in COVID-19 and Integrated Bioinformatics Analysis of Signaling Pathways by Linjie Fang, Tingyu Tang, Mengqi Hu

    Published 2021-01-01
    “…Finally, with the help of STRING tools, the PPI (protein-protein interaction) network diagrams of DEGs were constructed. …”
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    Article
  17. 297

    CTSK and PLAU as Prognostic Biomarker and Related to Immune Infiltration in Pancreatic Cancer: Evidence from Bioinformatics Analysis and qPCR by Yuntao Ding, Zhangzuo Li, Huizhi Wang, Qi Wang, Han Jiang, Zhengyue Yu, Min Xu

    Published 2023-01-01
    “…This study utilized microarray datasets (GSE15471, GSE62165, and GSE28735) from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) and construct a protein-protein interaction network using STRING and Cytoscape. …”
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    Article
  18. 298

    The molecular view of mechanical stress of brain cells, local translation, and neurodegenerative diseases by T. M. Khlebodarova

    Published 2021-03-01
    “…The roles of the mTOR (mammalian target of rapamycin) signaling pathway; the RNA-binding FMRP protein; the CYFIP1 protein, interacting with FMRP; the family of small GTPases; and the WAVE regulatory complex in the regulation of translation initiation and actin cytoskeleton rearrangements in dendritic spines of the activated synapse are discussed. …”
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    Article
  19. 299

    Potential Biomarkers and Signaling Pathways Associated with the Pathogenesis of Primary Ameloblastoma: A Systems Biology Approach by Zeynab Bayat, Azin Mirzaeian, Amir Taherkhani

    Published 2022-01-01
    “…The dataset GSE132472 was obtained from the GEO database, and multivariate statistical analyses were applied to identify differentially expressed genes (DEGs) in primary ameloblastoma tissues compared to the corresponding normal gingiva samples. A protein-protein interaction (PPI) map was built using the STRING database. …”
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    Article
  20. 300

    Integrating network pharmacology and experimental validation to explore the pharmacological mechanism of Astragaloside IV in alleviating urotensin II-mediated renal tubular epithel... by Wenyuan Liu, Qianwei Liu, Ziyuan Zhang, Yaling Hu, Jingai Fang

    Published 2024-01-01
    “…DAVID software was then used to perform GO and KEGG enrichment analysis on these target genes, and STRING and cytoscape were used to construct a protein interaction network. Molecular docking analysis was performed on key genes. …”
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    Article