Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.

In the latest step to tackle biology’s data scaling law, Basecamp Research has announced BaseData, the largest database for sequence-based model training, composed of 9.8 billion new protein sequences ...

Enhancing protein identification accuracy is vital for proteomics; this article explores key technologies and statistical methods involved.

Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...

Generative artificial intelligence has entered a new frontier of fundamental biology: helping scientists to better understand proteins, the workhorses of living cells. Scientists have developed two ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

Harnessing AI and exascale supercomputing, a research team led by the U.S. Department of Energy’s Argonne National Laboratory has developed a computing framework to speed up the design of new proteins ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

A new study led by Rice University’s Peter Wolynes offers new insights into the evolution of foldable proteins. The research was published in the Proceedings of the National Academy of Sciences.