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...
Research Background: New Challenges in Network Inference In the fields of modern molecular biology and systems biology, the precise elucidation of biomolecular networks—such as gene regulatory networks, protein interaction networks, and signaling networks—is regarded as central to understanding cellular processes, disease mechanisms, and drug actio...
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...
Academic Background Hereditary deafness is one of the most common sensory disorders worldwide, affecting over 400 million people, with approximately 60% of congenital deafness linked to genetic factors. Although adeno-associated virus (AAV)-mediated gene therapy shows great potential in treating hereditary deafness, significant concerns remain rega...
Background Introduction In cell biology, understanding how cells respond differently to perturbations is crucial. Perturbation refers to altering cell states through gene editing, chemical substances, environmental changes, or mechanical forces to study their functions. However, existing methods have limitations in quantifying heterogeneous respons...
In the field of functional genomics, researchers have long been dedicated to predicting causal regulatory relationships from observational data. However, despite modern technologies enabling the measurement of diverse molecular modalities, inferring causal regulatory relationships from observational data remains challenging. In particular, the iden...