About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for ...

X, an internet-based generative AI tool that enables scientists to design protein binders with no coding required. The ...

DeepPBS allows scientists and researchers to input the data structure of a protein–DNA complex into an online computational tool. Structures of protein–DNA complexes contain proteins that are ...

The duo’s AI model, called AlphaFold, could predict protein structures from amino acid sequences with almost 60 percent accuracy — much higher than what had been previously achieved.

The approach, termed proseLM (protein structure-encoded language model), was experimentally validated to be effective in improving gene editing activity and therapeutic antibody binding affinity ...

Typically, figuring out the structure involves laborious biochemistry to purify the protein, followed by a number of imaging techniques to determine where each of its atoms resides.

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein ...

Scientists David Baker, Demis Hassabis and John Jumper won the 2024 Nobel Prize in Chemistry, the award-giving body said on Wednesday, for work on the structure of proteins.