The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold ...

The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...

The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins. Ligands, nucleic acids, and post-translational ...

The OpenFold Consortium, a leading nonprofit artificial intelligence (AI) research consortium, today announced a preview release of OpenFold3, an open-source deep learning model that predicts ...

Genesis Molecular AI, the company pioneering the world's leading molecular AI models for drug design and development, today announced Pearl, a generative foundation model for biomolecular structure ...

A model known as ConPLex can predict whether potential drug molecules will interact with specific protein targets, without having to perform the computationally intensive calculation of the molecules' ...

High-speed atomic force microscopy (HS-AFM) is the only experimental technique to directly watch proteins in dynamic action.

Professor Jonathan Wittenberg used this model of sperm whale myoglobin structure as a teaching tool at the Albert Einstein College of Medicine at Yeshiva University in the Bronx. It was used beginning ...