Since it was unveiled in 2020, Google DeepMind’s game-changing AI tool has helped researchers all over the world to predict ...

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 ...

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein design,” ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...

For numerous fundamental processes of life, the formation of certain protein patterns is essential. Protein pattern formation ...

UCLA scientists have characterized the structure and function of a key survival protein in breast cancer cells that helps ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new ...