A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Proteins, with their extraordinary diversity of structure and function, pose some of the toughest problems in the field of bioinformatics, giving rise to a growing arsenal of computational tools for ...

Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...

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, ...

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 ...

A research team engineered a rigid, nanometer-scale protein module to address the challenge of measuring antibody flexibility ...

Whether you’re interested in why a living system works as it does or the reasons it goes awry, proteins are a critical part of the molecular picture. The proteins circulating in a person’s plasma can ...

Advances in artificial intelligence-assisted protein engineering are enabling breakthroughs in protein design, but they also introduce biosecurity challenges related to potential production of harmful ...

By extending a naturally rigid bacterial protein by 50% while preserving geometry and stability, the study introduces protein ...