This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Researchers have also succeeded in integrating experimental data into the ...

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. Many ...

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 ...

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein design,” ...

In the fast-evolving field of medical science, a new artificial intelligence model may be about to change the way mRNA-based drugs and vaccines are designed. Developed through a collaboration between ...