The database of 200 million protein-structure predictions now includes protein complexes, adding new biological relevance.

Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

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 ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

Built on groundbreaking research from Israel ’s Weizmann Institute of Science, Promise Bio developed the first cloud-based platform for broad epiproteomics, helping researchers uncover disease ...

The genomes of phages—viruses that infect bacteria—are largely composed of "dark matter": genes that encode proteins whose functions remain unknown. Less than four years ago, a team led by Prof. Rotem ...

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Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...

The GPCRact AI model goes beyond AlphaFold3 by predicting whether drugs functionally activate G-protein-coupled receptors ...

Hidden in volcanic lakes and deep-sea vents, scientists have discovered tough new DNA-binding proteins built to survive ...