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, ...

Holly has a degree in Medical Biochemistry from the University of Leicester. Her scientific interests include genomics, personalized medicine, and bioethics.View full profile Holly has a degree in ...

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

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Your next favorite true crime podcast might have some new forensics jargon to make sense of. Researchers in Australia have developed a new way to identify humans – similar to how we do with DNA and ...

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