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 ...

Intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. Although ...

The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold and interact has fascinated researchers for decades. Exactly how a protein ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

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 ...

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 ...

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...