METTL3 Mediates Atheroprone Flow–Induced Glycolysis in Endothelial Cells

Medicine, Cardiovascular System, Life Sciences, Cell Biology, Biochemistry, Immunology,
glycolysis   endothelial cells   atherosclerosis   METTL3   flow   RNA modification   metabolic reprogramming  

1. Research Background Atherosclerosis is the primary pathological basis of cardiovascular diseases, closely associated with endothelial cell (EC) dysfunction. Hemodynamic factors play a critical role in the regional selectivity of atherosclerosis: oscillatory shear stress (OS) (e.g., at vascular bifurcations) promotes plaque formation, while pulsa...

DeepRNA-Twist: Language-Model-Guided RNA Torsion Angle Prediction with Attention-Inception Network

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Biophysics,
RNA language model   torsion and pseudo-torsion angles   inception network   deep learning   RNA structure prediction   bioinformatics   long-range dependencies  

1. Academic Background and Research Motivation With the rapid development of life sciences and bioinformatics, research into RNA molecular structure and function has become a hot topic. RNA is not merely a carrier of genetic information, but also plays critical roles in regulation, catalysis, and various physiological processes. The three-dimension...

Problem Solving Protocol: Accurate Residue-Level Phase Separation Prediction Using Protein Conformational and Language Model Embeddings

Life Sciences, Biochemistry, Genetics, Biophysics,
phase separation   language model   residue-level prediction   conformational embeddings   intrinsically disordered regions  

1. Academic Background and Research Significance In recent years, protein liquid–liquid phase separation (PS) has emerged as a key mechanism regulating biomolecules inside cells, attracting widespread attention in the life sciences. Phase separation not only drives the formation of biomolecular condensates (membraneless organelles), but also extens...

HSSPPI: Hierarchical and Spatial-Sequential Modeling for PPIs Prediction

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Genetics,
protein–protein interaction sites   hierarchical graph   spatial form   sequential form   feature fusion  

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...

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

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Biophysics,
Quality Assessment   Protein Interface   Persistent Homology   Graph Neural Network   Topological Data  

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...

Cancer Gene Identification through Integrating Causal Prompting Large Language Model with Omics Data–Driven Causal Inference

Information Science, Artificial Intelligence, Medicine, Oncology, Life Sciences, Biochemistry, Genetics,
cancer genes   causality   large language model   multi-omics   causal learning  

Cancer gene identification is a core challenge in the fields of basic cancer research and precision medicine. Recently, a research team from Jilin University and Zhejiang Sci-Tech University published an original study titled “Cancer gene identification through integrating causal prompting large language model with omics data–driven causal inferenc...