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.

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 the chemical characteristics.

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 ...

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

Protein activity can be precisely regulated via subtle changes in temperature using heat-sensitive switches. Underlying this ...

Built on groundbreaking research from Israel ’s Weizmann Institute of Science, Promise Bio developed the first cloud-based platform for broad epiproteomics, helping researchers uncover disease ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

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