The Potential Mechanism of Kushen Decoction in Treating Haemorrhoids: An Integration of Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation [0.03%]
基于网络药理学、分子对接及分子动力学的龙胆泻肝汤治疗痔疮潜在机制研究
Xu Wei,He Qin,Tanjun Wei et al.
Xu Wei et al.
Kushen decoction (KSD), a traditional Chinese medicine, is extensively utilised for haemorrhoid treatment, yet its underlying mechanisms remain elusive. This study employs a systematic approach to elucidate the therapeutic mechanisms of KSD...
Gut Microbiota Mediate Periampullary Cancer Through Extracellular Matrix Proteins: A Causal Relationship Study [0.03%]
肠道微生物组通过细胞外基质蛋白介导 periampullary 癌症的因果关系研究
Zeying Cheng,Liqian Du,Hongxia Zhang et al.
Zeying Cheng et al.
Recent studies have reported that gut microbiota may play a role in the occurrence and development of digestive system cancers. Periampullary cancer is a relatively rare digestive system cancer which lacks effective targeted therapy and spe...
Characterising and Evaluating the Immune Microenvironment Landscapes of Colorectal Cancer Shaped by Different Therapies [0.03%]
不同疗法塑造的结直肠癌免疫微环境景观的特征和评估
Chen Zhou,Yifan Wang,Yuanyuan Li et al.
Chen Zhou et al.
Colorectal cancer (CRC) occurs as the third most common cancer with high mortality across the world. Understanding the intratumoral immune cell heterogeneity and their responses to various therapies is crucial for enhancing patient outcomes...
Integrative Machine Learning and Bioinformatics Approach for Identifying Key Biomarkers in Gallbladder Cancer Diagnosis and Progression [0.03%]
集成机器学习和生物信息学方法识别胆囊癌诊断和进展中的关键生物标志物
Rabea Khatun,Wahia Tasnim,Maksuda Akter et al.
Rabea Khatun et al.
Gallbladder cancer (GBC) is the most common biliary tract neoplasm. Identifying biomarkers for GBC initiation and progression remains a challenge. This study aimed to identify GBC biomarkers using machine learning and bioinformatics. Differ...
Proteins Combined Score Prediction Based on Improved Gene Expression Programming Algorithm and Protein-Protein Interaction Network Characterization [0.03%]
基于改进的基因表达编程算法和蛋白质相互作用网络表征的组合分数预测方法研究
Sicong Huo,Pengying Deng,Jie Zhou et al.
Sicong Huo et al.
Predicting the combined score in protein-protein interaction (PPI) networks represents a critical research focus in bioinformatics, as it contributes to enhancing the accuracy of PPI data and uncovering the inherent complexity of biological...
A Deep Differential Analysis in Four Subtypes of Breast Cancer Based on Regulations of miRNA-mRNA [0.03%]
基于microRNA-mRNA调控的四种乳腺癌亚型的深度差异分析
Tao Huang,Ling Guo,Weiyuan Ma et al.
Tao Huang et al.
Breast cancer is a highly heterogeneous disease and it is generally divided into four subtypes in clinical practice. Common differentially expressed genes are always ignored. In fact, the regulatory associations of common differentially exp...
PMLocMSCAM: Predicting miRNA Subcellular Localisations by miRNA Similarities and Cross-Attention Mechanism [0.03%]
基于miRNA相似性和交叉注意机制的miRNA亚细胞定位预测模型PMLocMSCAM
Jipu Jiang,Cheng Yan
Jipu Jiang
Many studies have shown that microRNAs (miRNAs) play key roles in some important processes and human complicated diseases. In addition, they also have specific physiological roles at different cellular sites. Therefore, identifying their su...
ADAMTS5 Modulates Breast Cancer Development as a Diagnostic Biomarker and Potential Tumour Suppressor, Regulated by BAIAP2-AS1, CRNDE and hsa-miR-135b-3p: Integrated Systems Biology and Experimental Approach [0.03%]
ADAMTS5作为诊断生物标志物和BAIAP2-AS1，CRNDE及hsa-miR-135b-3p调节的潜在肿瘤抑制剂在乳腺癌发生发展中的作用：整合系统生物学与实验方法研究
Najmeh Tavousi,Qazal Taqizadeh,Elnaz Nasiriyan et al.
Najmeh Tavousi et al.
ADAMTS5, a member of the ADAMTS family, exhibits crucial biological roles, including protein shedding, proteolysis, and cell migration. Its relevance in breast cancer (BC) was explored through an integrative approach combining high-throughp...
Designing a Resilient Controller for Cancer Immunotherapy: Application to a Fractional-Order Tumour-Immune Model [0.03%]
基于分数阶肿瘤免疫模型的癌症免疫治疗鲁棒控制器设计
Mohamadreza Homayounzade,Shayan Sajadian
Mohamadreza Homayounzade
In this paper, we propose a robust control method for the automatic treatment of targeted anti-angiogenic molecular therapy based on multi-input multi-output (MIMO) nonlinear fractional and non-fractional models using the backstepping (BS) ...
Exploring Key Genes of Glutathione Metabolism in Systemic Lupus Erythematosus Based on Mendelian Randomisation, Single-Cell RNA Sequencing and Multiple Machine Learning Approaches [0.03%]
基于孟德尔随机化、单细胞RNA测序和多种机器学习方法探讨系统性红斑狼疮半胱氨酸代谢关键基因
Kejiang Wang,Xiaoqiong Li,Ying Tang et al.
Kejiang Wang et al.
Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterised by immune dysregulation leading to inflammation and organ damage. Despite the rising global incidence of SLE, its aetiology remains unclear. We applied Mendeli...