Genomics, proteomics & bioinformatics
Feb 15, 2026
Membrane proteins play pivotal roles in cellular signaling and transport, making them prime targets for therapeutic intervention. Therefore, rapid screening and accurate property prediction of these proteins are essential. Recently, we proposed a new... read more
Genomics, proteomics & bioinformatics
Feb 15, 2026
Recent advances in artificial intelligence have led to the development of generative models for de novo protein design. We compared 13 state-of-the-art generative protein models, assessing their ability to produce feasible, diverse, and novel protein... read more
Rhabdomyolysis is a severe condition with high morbidity and mortality, driven by complications like acute kidney injury. Early risk stratification remains challenging as traditional scores fail to capture complex data patterns. This study lays the f... read more
Parkinson's disease (PD) is a degenerative neurological condition defined by a wide range of motor and non-motor symptoms that can affect function to varying degrees. One of the hallmarks of PD is postural instability (PI), along with rest tremor, st... read more
Modeling electrocatalytic reactions at solid-liquid interfaces requires capturing both the quantum-mechanical processes at the electrode surface and the complex response of the surrounding electrochemical environment. This review examines the main th... read more
INTRODUCTION: Lung cancer remains a leading cause of cancer mortality globally, emphasising the critical need for non-invasive and cost-effective early screening methods. Breath analysis, detecting disease-specific volatile organic compounds (VOCs), ... read more
Metal-organic frameworks (MOFs) are prime candidate materials for gas adsorption and separation owing to their exceptional porosity and structural tunability. However, the nearly infinite chemical space and exponentially growing number of candidate s... read more
INTRODUCTION: Hemorrhagic shock is the most common preventable cause of death in trauma patients. Early transfusion significantly improves survivability in patients suffering from hemorrhagic shock. We hypothesized that machine learning models could ... read more
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