Molecules from the 20-million-year-old teeth of a rhino relative are among the oldest ever sequenced, opening tantalizing ...

Scientists have shed new light on the rhino family tree after recovering a protein sequence from a fossilized tooth from more ...

It combines traditional protein sequence data with experimental results, molecular simulations and even text-based narratives that provide detailed insights into each protein's properties.

The data to train the model was sourced from the OpenFold data set for sequence alignments and UniRef50, a subset of data from UniProt, the database of protein sequence and functional information ...

Both research teams recovered the ancient proteins from tooth enamel, the hardest substance in vertebrates’ bodies, in ...

We identified orthologous proteins with a relational bacterial genomic database, which contains an array of protein-by-protein sequence similarity scores (smallest sum probabilities) across ...

Meta’s AI model is a new protein-folding approach inspired by large language models that aims to predict the structures of the hundreds of millions of protein sequences in metagenomics databases.

Because protein data is a sequence of letters that represent amino acids, deep learning approaches that have pioneered the natural language breakthroughs of the last five years can also be applied ...

The company has integrated the AI model into its internal discovery pipeline and aims to use it in collaborative drug discovery programs.

Google's DeepMind launches AlphaGenome, an artificial intelligence model that predicts gene expression from DNA sequence.