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

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...

DockEM: An Enhanced Method for Atomic-Scale Protein–Ligand Docking Refinement Leveraging Low-to-Medium Resolution Cryo-EM Density Maps

Academic Background and Research Motivation In recent years, protein–ligand docking has rapidly developed as a core technology for virtual drug screening and structure-based drug discovery. Despite improvements in drug discovery efficiency through large-scale high-throughput screening technologies, new drug development still faces high costs, long ...

Exploring Diverse Approaches for Predicting Interferon-Gamma Release: Utilizing MHC Class II and Peptide Sequences

Academic Background and Research Significance In recent decades, therapeutic proteins have gained prominence as a research focus in the biopharmaceutical industry due to their huge potential in medicine. With their high targeting ability, therapeutic protein drugs are considered to offer solutions for many acute or chronic diseases (such as certain...

Regularly Updated Benchmark Sets for Statistically Correct Evaluations of AlphaFold Applications

Academic Background: Crossing into a New Era of Protein Structure Prediction Protein structure determination has long stood as one of the central challenges in molecular biology and life sciences. Traditional experimental methods such as X-ray crystallography, nuclear magnetic resonance (NMR), and cryo-electron microscopy have provided a solid foun...

De Novo Luciferases Enable Multiplexed Bioluminescence Imaging

De Novo Luciferases Enable Multiplexed Bioluminescence Imaging

Academic Background Bioluminescence technology is a highly sensitive and non-invasive imaging technique, enabling real-time monitoring in living organisms without the need for external light sources. Luciferase is the key enzyme that catalyzes the light-emitting reaction, but natural luciferases face multiple limitations, such as poor protein foldi...

PRMT5-mediated arginine methylation stabilizes GPX4 to suppress ferroptosis in cancer

Background Introduction Ferroptosis is a form of cell death triggered by iron-dependent lipid peroxidation, which has recently been recognized as having significant potential in cancer therapy. Cancer cells evade ferroptosis through various molecular alterations and metabolic reprogramming mechanisms, with glutathione peroxidase 4 (GPX4) being a ke...