Comprehensive Prediction and Analysis of Human Protein Essentiality Based on a Pretrained Large Language Model Academic Background Human Essential Proteins (HEPs) are crucial for individual survival and development. However, experimental methods for identifying HEPs are often costly, time-consuming, and labor-intensive. Additionally, existing compu...

Latest Research on Deep Learning Applied to Target Protein Ligand Generation: Proposal and Validation of the DeepBlock Framework Background and Research Problem In the drug discovery process, finding ligand molecules that bind to specific proteins has always been a core objective. However, current virtual screening methods are often limited by the ...

Research Based on Genotype Representation Graph (GRG): A New Framework to Enhance Biobank-Scale Data Analysis Efficiency Academic Background and Research Motivation With the rapid advancement of sequencing technologies, the collection of large-scale genomic data has become increasingly common, especially in the field of human disease association st...

A Novel Rectal Foam Formulation for the Treatment of Inflammatory Bowel Disease In recent years, the incidence of inflammatory bowel disease (IBD), characterized by mucosal damage, chronic inflammation, and recurrent episodes, has been steadily rising, yet ideal therapeutic solutions remain elusive. Researchers have identified a 33-amino acid pepti...

Mechanisms and Research Models of Kidney Fibrosis: Progress Toward Physiologically Relevant Humanized Models Research Background and Problem Statement Chronic Kidney Disease (CKD) is a major global public health issue, estimated to affect more than 10% of the population and is one of the leading causes of mortality. Kidney fibrosis, as a key pathol...