HSSPPI: Hierarchical and Spatial-Sequential Modeling for PPIs Prediction

Background: Unveiling the Bottlenecks and Opportunities in Protein Interaction Prediction Proteins serve as the core molecules for life activities, participating in almost all biological processes and cellular functions, including gene expression, RNA transcription, DNA synthesis, immune response, and more. Protein-protein interactions (PPI), as we...

Unveiling a Novel Cancer Hallmark by Evaluation of Neural Infiltration in Cancer

Cancer, as a major global public health challenge, is characterized by complex mechanisms underlying its onset and progression. For a long time, processes within the tumor microenvironment (TME)—such as immunity, inflammation, and angiogenesis—have been extensively studied and considered key determinants of tumor biological behavior. In recent year...

MAEST: Accurate Spatial Domain Detection in Spatial Transcriptomics with Graph Masked Autoencoder

Spatial Transcriptomics: Cutting-Edge Technology for Deciphering Spatial Heterogeneity in Tissues Spatial transcriptomics (ST) is an emerging sequencing technology that has rapidly developed in recent years. Its core advantage lies in the simultaneous acquisition of gene expression and spatial location information at the tissue section level, provi...

TopoQA: A Topological Deep Learning-Based Approach for Protein Complex Structure Interface Quality Assessment

Academic Background The elucidation of protein complex 3D structures is a central topic in modern structural biology, molecular mechanism studies, drug design, and even artificial protein design. The function of a protein is often determined by its structure, and many biological processes involve complex interactions between proteins. Although trad...

Inferring Gene Regulatory Networks from Time-Series scRNA-Seq Data via Granger Causal Recurrent Autoencoders

1. Academic Background and Research Motivation In recent years, single-cell RNA sequencing (scRNA-seq) has become one of the most groundbreaking technologies in life sciences and medical research, enabling researchers to capture subtle differences in transcript levels among numerous cells at the resolution of individual cells. This technology has g...