AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...

Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure prediction.

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

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