Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

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 ...

With its next-generation protein design engine, Ainnocence is at the forefront of a new era in molecular biology. By harnessing AI and protein language models, the company can dramatically accelerate ...

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 ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Researchers at VIB and KU Leuven have identified a molecular process that allows motor neurons to maintain protein production ...