Deep learning (DL) has advanced computational genome annotation tasks such as protein sub-cellular localisation (SCL) prediction. Nonetheless, its potential remains underutilised, primarily because of the limited availability of high-quality referenc... read more
The precise mapping between chemical transformations and enzymatic catalysts underpins the complexity of metabolic networks. Conventional discovery methods, tethered to sequence homology or structural alignment, are inherently blind to new reactions.... read more
Protein phosphorylation is a key regulator of signaling, with mass spectrometry (MS) based phosphoproteomics serving as the premier technology for its analysis. However, phosphorylation profiling is hindered by acquisition biases: Data-Dependent Acqu... read more
Lopez-Mateos et al. show that AlphaFold 2 can generate structural ensembles of NaV channels and that β-subunits and calmodulin reshape these ensembles, while emphasizing that these are testable structural hypotheses, not actual thermodynamic populati... read more
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Mar 10, 2026
Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-life functioning. It is characterized by abnormal asymmetry in the neural activities of the brain reflecting functional and cognitive impairment. The i... read more
Industrial Bacillus strains face overlapping stresses-heat, pH, oxidative, osmotic, and toxic metabolites-during large-scale fermentation. Traditional single-stress approaches are insufficient for robustness. We propose a 'resilience-by-design' parad... read more
Journal of diabetes science and technology
Mar 10, 2026
BACKGROUND: Diabetes is a chronic condition requiring long-term management, and continuous health education is vital for improving disease awareness and self-management. Large language models (LLMs), advanced artificial intelligence systems trained o... read more
A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and representational similarity analysis. These analyses o... read more
BACKGROUND: Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study aimed to identify preprocedural factors to predi... read more
BACKGROUND: Ferroptosis plays a critical role in immune regulation and tumor microenvironment remodeling. However, its therapeutic potential in enhancing immune checkpoint inhibitor (ICI) efficacy remains incompletely understood and warrants further ... read more
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