inDAGO: a user-friendly interface for seamless dual and bulk RNA-Seq analysis [0.03%]
inDAGO：一种用于无缝双端和批量RNA-Seq分析的用户友好型界面
Gaetano Aufiero,Carmine Fruggiero,Nunzio D&#x;Agostino
Gaetano Aufiero
Dual RNA-sequencing enables simultaneous profiling of protein-coding and non-coding transcripts from two interacting organisms, an essential capability when physical separation is difficult, such as in host-parasite or cross-kingdom interac...
Computational analysis of transcriptome data and mapping of functional networks in Parkinson's disease [0.03%]
帕金森病的转录组数据计算分析及功能网络绘制
Konstantinos Perperidis,Themis P Exarchos,Aristidis G Vrahatis et al.
Konstantinos Perperidis et al.
Parkinson's disease (PD) is the most common neurodegenerative movement disorder. The pathophysiology is defined by a loss of dopaminergic neurons in the substantia nigra pars compacta, however recent studies suggest that the peripheral immu...
Multi-marker comparative analysis of 18S, ITS1, and ITS2 primers for human gut mycobiome profiling [0.03%]
基于18S、ITS1和ITS2引物的人类肠道真菌群检测的多标记比较分析方法研究
Hiba Orsud,Sumaya Zoughbor,Fatima AlDhaheri et al.
Hiba Orsud et al.
Background: Gut fungi play crucial roles in human health. The profiling of the human gut mycobiome continues to progress. However, adjustments in the selection of ribosomal DNA marker regions can substantially affect the ...
Jack M Craig,Whitney L Fisher,Allan S Thomas et al.
Jack M Craig et al.
Afrotheria, the superorder that includes aardvarks, elephants, elephant shrews, hyraxes, manatees, and tenrecs, is home to some of the most charismatic and well-studied animals on Earth. Here, we assemble a nearly taxonomically complete mol...
Role of histone-lysine N-methyltransferase 2D (KMT2D) in MEK-ERK signaling-mediated epigenetic regulation: a phosphoproteomics perspective [0.03%]
组蛋白赖氨酸N-甲基转移酶2D（KMT2D）在MEK-ERK信号介导的表观遗传调控中的作用：磷酸蛋白质组学视角分析
Sreeshma Ravindran Kammarambath,Leona Dcunha,Athira Perunelly Gopalakrishnan et al.
Sreeshma Ravindran Kammarambath et al.
Introduction: Histone-lysine N-methyltransferase 2D (KMT2D) is an H3K4 methyltransferase and a potential tumor suppressor with a crucial role in regulating gene expression. Its dysregulation has been implicated in develop...
Food-derived linear vs. rationally designed cyclic peptides as potent TNF-alpha inhibitors: an integrative computational study [0.03%]
基于计算的整合研究：食品来源的线性和理性设计的环状肽作为TNF-α抑制剂的效果研究
Manisha Shah,Sivakumar Arumugam
Manisha Shah
Introduction: Tumor necrosis factor-alpha (TNF-alpha) is a central mediator of chronic inflammation and a validated therapeutic target in atherosclerosis and related cardiovascular disorders. Peptide therapeutics offer hi...
QSAR-guided discovery of novel KRAS inhibitors for lung cancer therapy [0.03%]
基于 QSAR 的新型抗 KRAS 抑制剂的发现及其对肺癌治疗的作用
Osasan Stephen Adebayo,George Oche Ambrose,Daramola Olusola et al.
Osasan Stephen Adebayo et al.
Introduction: KRAS mutations are key oncogenic drivers in lung cancer, yet effective pharmacological targeting has remained a major challenge due to the protein's elusive and dynamic binding pockets. Computational modelin...
Machine learning-guided optimization of triple agonist peptide therapeutics for metabolic disease [0.03%]
机器学习指导的代谢病肽类药物开发中的三功能激动剂优化
Anthony Wong,Sanskruthi Guduri,TsungYen Chen et al.
Anthony Wong et al.
Introduction: Multi-target peptide therapeutics targeting glucagon receptor (GCGR), glucagon-like peptide-1 receptor (GLP1R), and glucose-dependent insulinotropic polypeptide receptor (GIPR) represent a promising approach...
Comprehensive analysis of multi-omics vaccine response data using MOFA and Stabl algorithms [0.03%]
使用MOFA和Stabl算法对多组学疫苗反应数据进行综合分析
Aanya Gupta,Koji Abe,Holden T Maecker
Aanya Gupta
Introduction: FluPRINT is a multi-omics dataset that measures donors' protein expression and cell counts across various assays. Donors were also assigned a binary value (0 or 1), being labeled as high responders if they h...
ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models [0.03%]
基于序列的深度学习使用链awareبيلstm--cnн模型进行残基水平的paratope预测
Piyachat Udomwong,Thanathat Pamonsupornwichit,Kanchanok Kodchakorn et al.
Piyachat Udomwong et al.
Accurate prediction of antibody paratopes is a critical challenge in structure-limited, high-throughput discovery workflows. We present ParaDeep, a lightweight and interpretable deep learning framework for residue-level paratope prediction ...