Protein sequencing presents different challenges than nucleic acid sequencing, meaning that proteomics has yet to benefit as much as genomics from the next-generation sequencing revolution. However, ...

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.

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

New research headed by scientists at the Centre for Genomic Regulation (CRG) has demonstrated how the three-dimensional shape of a protein can be used to resolve deep, ancient evolutionary ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful ...

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 ...

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