All articles tagged with #ai in biology
An open-access atlas called the ESM Atlas, generated with the ESMFold2 AI model, predicts about 1.1 billion protein structures and 6.8 billion sequences, outperforming AlphaFold in scale and openness and enabling new biology discoveries through a freely available resource.
UC San Diego researchers have identified Chromogranin A as a potential molecular switch that could prevent Alzheimer’s-like memory loss; in mice, removing CgA protected against dementia, and peptides that interact with CgA may either provoke or prevent cognitive decline. An AI framework helped confirm consistent patterns across datasets and pinpoint peptides that could halt disease progression, suggesting a preventive, not curative, approach. While results are promising and described as safe in mice, human testing and further funding are needed.
The Human Cell Atlas (HCA) consortium has published over 40 studies that provide groundbreaking insights into human biology by mapping over 100 million cells from 10,000 individuals. These studies, which cover areas like brain development and COVID-19 lung responses, highlight the use of AI in understanding cellular mechanisms. The HCA aims to create a comprehensive "Google Maps" for cell biology to enhance diagnostics, drug discovery, and regenerative medicine, emphasizing diversity to ensure a globally inclusive understanding of health and disease.