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 ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

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 search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

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 ...

Add Yahoo as a preferred source to see more of our stories on Google. New AI model predicts mRNA protein output, aiding drug and vaccine design by targeting specific cells. (CREDIT: Science Photo ...

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, including pharmaceuticals, industrial enzymes, and diagnostic antibodies.

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,” ...

Inspired by the simple mechanism of a seesaw—when one side goes up, the other side goes down—researchers asked an intriguing ...