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 open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.
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 ...
With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...
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 ...
From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance ...
Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...
Researchers at the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University observe and model how the enzyme ADAR1 interacts with double-stranded RNA, which may be useful for future cancer ...
High-speed atomic force microscopy (HS-AFM) is the only experimental technique to directly watch proteins in dynamic action.
Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...
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 ...
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