Research on Drug-Disease Association Prediction Using Graph Contrastive Learning Based on Layered Negative Sampling The prediction of drug-disease associations (RDAs) plays a critical role in unveiling disease treatment strategies and promoting drug repurposing. However, existing methods mainly rely on limited domain-specific knowledge when predict...

Predicting Drug-Target Affinity Based on Learning Protein Knowledge from Biological Networks Background The prediction of drug-target affinity (DTA) plays a crucial role in drug discovery. Efficient and accurate DTA prediction can significantly reduce the time and economic costs of new drug development. In recent years, the explosive development of...

Application of Knowledge-Enhanced Graph Topic Transformer in Interpretable Biomedical Text Summarization Research Background Due to the continuous increase in the volume of biomedical literature, the task of automatic biomedical text summarization has become increasingly important. In 2021 alone, 1,767,637 articles were published in the PubMed data...

This paper is a study on the phenotypic associations and neurobiological bases of single-subject morphological brain networks. Combining multimodal and multiscale data, this study reveals the differences in morphological brain networks between genders, their potential as individual-specific markers, and their relationships with gene expression, lay...

The Mechanism of Action of Specific Reprogramming of Histone H3 Lysine 9 Acetylation (H3K9ac) in the Progression and Metastasis of Esophageal Squamous Cell Carcinoma (ESCC) Background Esophageal cancer is one of the most prevalent and invasive malignant tumors globally, causing over 500,000 cancer-related deaths annually, ranking sixth among cancer...

The research team consisting of Guilan Shi, Jody Synowiec, Julie Singh, and Richard Heller published a paper titled “Modification of the tumor microenvironment enhances immunity with plasmid gene therapy” in Cancer Gene Therapy. The background of the study stems from current challenges in the field of tumor immunotherapy, such as tumor cells evadin...

This study explores the interactions between Schwann cells and fibroblasts in neurofibromatosis type 1 (NF1) related plexiform neurofibroma (PNF). The background of the research is based on the high incidence of NF1, which affects about 1 in 3000 newborns worldwide and is associated with a series of unique clinical manifestations. PNF is a common p...

GRIN2A Mutations as a Novel Indicator for Stratifying Beneficiaries of Immune Checkpoint Inhibitors in Various Cancers Background Immune checkpoint inhibitors (ICIs) therapy, which modulates the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death (ligand) 1 (PD-(L)1) pathways, has made revolutionary progress in treating v...

NEDDylation of Insulin Receptor Substrates as Regulators of Insulin Signaling and Its Effect on Cancer Cell Migration Academic Background In recent years, the association between cancer and diabetes has garnered significant attention due to their overlapping pathological mechanisms and epidemiological links. Epidemiological studies have shown that ...

Research Overview Recently, a paper published in the journal “Cancer Gene Therapy” titled “Retinoids and EZH2 inhibitors cooperate to orchestrate anti-oncogenic effects on bladder cancer cells” has garnered widespread attention among peers. This paper explores the combined application of retinoic acid and EZH2 inhibitors in bladder cancer cells and...