Gene Set Enrichment Analysis in Zebrafish Embryos Is Susceptible to False-Positive Results in the Absence of Differentially Expressed Genes [0.03%]
斑马鱼胚胎中的基因集富集分析在缺乏差异表达基因的情况下容易产生假阳性结果
John Dh Stead,Hyojin Lee,Andrew Williams et al.
John Dh Stead et al.
High-throughput gene expression studies commonly employ pathway analyses to infer biological meaning from lists of differentially expressed genes (DEGs). In toxicology and pharmacology studies, treatment groups are analysed against vehicle ...
Computational Development of Transmission-Blocking Vaccine Candidates Based on Fused Antigens of Pre- and Post-fertilization Gametocytes Against Plasmodium falciparum [0.03%]
基于融合抗原的计算开发针对恶性疟原虫的传播阻断疫苗候选物
Matthew A Adeleke
Matthew A Adeleke
Plasmodium falciparum is the most fatal species of malaria parasites in humans. Attempts at developing vaccines against the malaria parasites have not been very successful even after the approval of the RTS, S/AS01 vaccine. There is a conti...
Bioinformatics-Driven Investigations of Signature Biomarkers for Triple-Negative Breast Cancer [0.03%]
用于三阴性乳腺癌的标志生物标记物的生物信息学驱动探索
Shristi Handa,Sanjeev Puri,Mary Chatterjee et al.
Shristi Handa et al.
Breast cancer is a highly heterogeneous disorder characterized by dysregulated expression of number of genes and their cascades. It is one of the most common types of cancer in women posing serious health concerns globally. Recent developme...
A "Dock-Work" Orange: A Dual-Receptor Biochemical Theory on the Deterrence Induced by Citrusy Aroma on Elephant Traffic Central to a Conservation Effort [0.03%]
一种“码头工作”橙子：关于柑橘香味诱导对大象迁移的威慑作用的双重受体生物化学理论，是保护工作中的重要部分
Dilantha Gunawardana
Dilantha Gunawardana
Conservation of elephants requires physical, chemical, and biological approaches to ensure the protection of these gargantuan pachyderms. One such approach is using orange plants (as biofencing) for the repellence of elephants, which preclu...
Predicting TF-Target Gene Association Using a Heterogeneous Network and Enhanced Negative Sampling [0.03%]
使用异构网络和增强的负采样来预测TF-靶基因关联
Thanh Tuoi Le,Xuan Tho Dang
Thanh Tuoi Le
Identifying interactions between transcription factors (TFs) and target genes is crucial for understanding the molecular mechanisms involved in biological processes and diseases. Traditional biological experiments used to determine these in...
Phenazine Scaffolds as a Potential Allosteric Inhibitor of LasR Protein in Pseudomonas aeruginosa [0.03%]
Phenazine支架作为铜绿假单胞菌中LasR蛋白的潜在变构抑制剂的可能性研究
Prisca Baah Nketia,Prince Manu,Priscilla Osei-Poku et al.
Prisca Baah Nketia et al.
Millions of individuals suffer from chronic infections caused by bacterial biofilms, resulting in significant loss of life. Pseudomonas aeruginosa stands out as a major culprit in causing such chronic infections, largely due to its antibiot...
In Silico Analysis and Characterization of the Immunogenicity of Toxoplasma gondii Rhoptry Protein 18 [0.03%]
托拉杜体致密颗粒蛋白18的免疫原性分析与鉴定
Masoud Foroutan,Amir Karimipour-Saryazdi,Ali Dalir Ghaffari et al.
Masoud Foroutan et al.
Rhoptry protein 18 (ROP18) is a key virulence factor secreted into host cells during the invasion of Toxoplasma gondii (T. gondii) and plays an important role in the pathogenesis of infection. Due to its potential as a vaccine candidate, th...
Molecular Docking Appraisal of Pleurotus ostreatus Phytochemicals as Potential Inhibitors of PI3K/Akt Pathway for Breast Cancer Treatment [0.03%]
扇贝属化学成分作为PI3K/Akt途径的潜在抑制剂治疗乳腺癌分子对接评估
Magdalene Eno Effiong,Mercy Bella-Omunagbe,Israel Sunmola Afolabi et al.
Magdalene Eno Effiong et al.
Introduction: Breast cancer (BC) is a heterogeneous disease involving a network of numerous extracellular signal transduction pathways. The phosphoinositide 3-kinase (PI3K)/serine/threonine kinase (Akt)/mechanistic target...
Cliotide U1, a Novel Antimicrobial Peptide Isolated From Urtica Dioica Leaves [0.03%]
牻牛儿苗叶抗菌肽U1的鉴定与活性研究
Mahnaz Nasre Taheri,Sima Sadat Seyedjavadi,Mehdi Goudarzi et al.
Mahnaz Nasre Taheri et al.
Aims: Antibiotic resistance is currently a major challenge to scientists. Thus, attempts have been made to develop new compounds with antimicrobial activity. In this research, a new antimicrobial peptide with antibacteria...
Two-Step Transfer Learning Improves Deep Learning-Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma [0.03%]
基于深度学习的药物反应预测在小型数据集中的两步迁移学习改善：胶质母细胞瘤案例研究
Jie Ju,Ioannis Ntafoulis,Michelle Klein et al.
Jie Ju et al.
While deep learning (DL) is used in patients' outcome predictions, the insufficiency of patient samples limits the accuracy. In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL fra...