Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...

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

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A new study from Drexel University introduces a simplified method for simulating how proteins change shape, using only limited experimental data. This approach, demonstrated through a detailed case ...

Elevated levels of five proteins in our blood can help predict risk of mortality, a new study from the University of Surrey finds. Scientists believe the proteins (PLAUR, SERPINA3, CRIM1, DDR1 and ...

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

A protein located in the wrong part of a cell can contribute to several diseases, such as Alzheimer's, cystic fibrosis, and cancer. But there are about 70,000 different proteins and protein variants ...