A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

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

Proteins are life's molecular workhorses, doing everything from turning sunlight into food to fighting viruses. They are ...

Quantum computing could revolutionise protein modelling by enabling simulations of molecular behaviour at atomic resolution.

Cell division in bacteria, the process that allows a single bacterial cell to divide into two, is regulated by the FtsZ ...

In a new study, Nobel laureate David Baker and colleagues detail new methods for targeting undruggable "disordered" proteins.

Danish study finds protein-based feed additives, known as VHH constructs, can help reduce E. coli-induced diarrhoea in ...

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

Scientists David Baker's UW lab are using generative AI to target 'undruggable' proteins for creating new drugs and ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.

Professor Ji-Joon Song's research team at KAIST, in collaboration with teams from the National University of Singapore (NUS) ...

David Baker’s lab has successfully designed binders to disordered proteins, expanding therapeutic access to over 50% of the ...