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 ...

Researchers at IBM and Moderna have successfully used a quantum simulation algorithm to predict the complex secondary protein structure of a 60-nucleotide-long mRNA sequence, the longest ever ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology's biggest challenges: predicting the 3D shape of proteins ...

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 ...

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

Google DeepMind cofounder and CEO Demis Hassabis and John Jumper, a senior researcher at the company, shared the 2024 Nobel Prize for Chemistry for their work on AlphaFold, an AI model that predicts ...

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 ...

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.

In a study published in PNAS, a research team developed a new reinforcement learning-based enhanced sampling method called Adaptive Collective Variables Generator (Adaptive CVgen), which has been ...

Curricula and admissions systems were built for a world in which human effort was the primary input. That world is disappearing. The challenge now is to measure not what students can do alone, but ...