Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...

Scientists at Georgetown University's Lombardi Comprehensive Cancer Center have uncovered a new dual function for a well-known cancer-related protein called ezrin. This finding could potentially open ...

Protein activity can be precisely regulated via subtle changes in temperature using heat-sensitive switches. Underlying this capability is a novel modular design strategy developed by researchers at ...

Researchers have created nanoparticles that can remove disease-driving proteins while also delivering a chemotherapeutic or ...

Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

Extracellular vesicles (EVs) are tiny biological bubbles that carry nucleic acids and proteins between cells, playing an ...

A new LMU study shows how proteins function reliably even without a stable 3D structure—and the crucial importance not only of short sequence motifs, but also of chemical characteristics.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at scale. Techniques such as transformer-based models enable automated ...

A research team led by Sahand Jamal Rahi at EPFL’s Laboratory of the Physics of Biological Systems has introduced a new ...

How much protein is safe? Find out from a nephrologist about the risks of excessive protein consumption.

Optimal health is best supported by a balanced diet that includes adequate protein along with vegetables, vitamins, whole ...