In 2020, AlphaFold solved this problem, with the ability to predict protein structures in minutes, to a remarkable degree of accuracy. That’s helping researchers understand what individual …

AlphaFold is an AI system developed by Google DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.

Proteins consist of chains of amino acids which spontaneously fold to form the three dimensional (3-D) structures of the proteins. The 3-D structure is crucial to understanding the biological …

Jun 26, 2024 · How does a one-dimensional string of molecules fold correctly into its innate three-dimensional shape? This question, known as the protein folding problem, was recently solved …

Dec 22, 2025 · Protein folding had those same characteristics. The crucial difference was that solving it would unlock discoveries across biology and medicine that could genuinely improve …

Jul 23, 2025 · Discover how artificial intelligence is transforming a fundamental biological challenge—predicting a protein’s shape—into a solvable computational problem.

The team used a large database of experimentally determined protein structures to train the AI, which allowed it to learn the principles of protein folding. The result was AlphaFold2, an AI that …

Aug 1, 2025 · Machine learning has revolutionized protein structure prediction and design. This review discusses current methods for protein folding and inverse folding challenges.

Aug 2, 2025 · DeepMind has now, with AlphaFold 4, taken the technology a leap ahead, performing protein structure prediction at the highest level of speed and accuracy.

In this article, we explore AlphaFold and other protein folding AI approaches, detailing how they transform drug R&D by speeding up structure elucidation, cutting costs, and driving advanced …