Xu Hong,Jian Zhan,Yaoqi Zhou
Xu Hong
The success of protein structure prediction by the deep learning method AlphaFold 2 naturally raises the question whether similar success can be achieved for RNA structure prediction. One reason for the success in protein structure predicti...
Quantitative Proteomics and Phosphoproteomics Analyses Identify Sex-biased Protein Ontologies of Schistosoma Japonicum [0.03%]
定量蛋白质组学和磷酸化蛋白质组学分析确定了日本血吸虫性别偏倚的蛋白通路
Chuantao Fang,Bikash R Giri,Guofeng Cheng
Chuantao Fang
Schistosoma japonicum (S. japonicum) is the causative agent of human schistosomiasis in Asia. Identification of differentially expressed proteins (DEPs) between males and females could elucidate critical signaling pathways underlying sexual...
A Human-specific Protein Regulated by Alternative Polyadenylation Shapes Uniqueness of Human Brain Development [0.03%]
由可变多腺苷酸化调控的新型人类特异蛋白质在大脑发育中发挥重要作用
Ting Li,Fan Mo,Jianhuan Qi et al.
Ting Li et al.
Although new genes and regulatory events have been linked to the uniqueness of human brain development, it is unknown whether alternative polyadenylation (APA) could also be involved in shaping this key feature that differentiates humans fr...
Song Guo Zheng
Song Guo Zheng
Profiling Cell-state Fingerprints Based on Deep Learning Model with Meta-programs of Pan-cancer [0.03%]
基于泛癌元程序的深度学习模型的细胞状态指纹特征分析
Zebin Wen,Yulong Zhang,Guanchuan Lin et al.
Zebin Wen et al.
Cell states within cancer have garnered significant attention, yet the mechanisms through which malignant cells assert dominance in pan-cancer commonalities remain elusive. In this study, we employed label-free multiplexed single-cell RNA s...
circASbase：A Comprehensive Database of Alternative Splicing Events in circRNAs [0.03%]
circASbase：含可变剪接事件的环状RNA综合数据库
Lingxiao Zou,Jian Zhao,Haojie Li et al.
Lingxiao Zou et al.
Despite extensive evidence has underscored the critical role of alternative splicing in generating mature circular RNA (circRNA) isoforms and augmenting their function diversity, a significant gap remains in the availability of specialized ...
HGCPep: Hypergraph Deep Learning Identifies Cancer-associated Non-coding Peptides [0.03%]
HGCPep：超图深度学习识别癌症相关非编码肽
Wentao Long,Zhongshen Li,Junru Jin et al.
Wentao Long et al.
A small peptide encoded by a non-coding RNA (ncRNA), known as a non-coding peptide (ncPEP), is emerging as a critical regulator and biomarker in cancer, holding immense promise for immunotherapy. However, systematic identification of ncPEPs...
Bioinformatics Portal for Predicting Binding Regions and Modes in Protein-Nucleic Acid Interactions [0.03%]
预测蛋白质-核酸相互作用结合区域和模式的生物信息学平台
Xiao Zhang,Wenbo Guo,Jiaxin Liu et al.
Xiao Zhang et al.
Protein-nucleic acid interactions (PNIs) are essential for biological processes, including gene regulation, DNA repair, and viral infection. The changes in binding regions and modes in PNIs are vital for understanding the action mechanism a...
CanID: A Robust and Accurate RNA-seq Expression-based Diagnostic Classification Scheme for Pediatric Malignancies [0.03%]
基于RNA序列表达的儿童恶性肿瘤稳健且准确的诊断分类方案CanID
Daniel K Putnam,Alexander M Gout,Delaram Rahbarinia et al.
Daniel K Putnam et al.
Cancer subtype classification is critical for precision therapy and there is a growing trend of augmenting histopathology testing procedures with omics-based machine learning classifiers. However, analytical challenges remain for pediatric ...
Deep Transfer Learning Links Benign Glands to Prostate Cancer Progression via Transcriptomics [0.03%]
基于转录组的深度迁移学习通过转录组学将良性腺体与前列腺癌进程联系起来
Justin L Couetil,Ziyu Liu,Chao Chen et al.
Justin L Couetil et al.
The field effect describes the phenomena where environmental exposures, infection, and genetic predisposition result in molecular changes in cells that predispose them to developing cancer. Though this is a well-established concept in patho...