deep learning in cryo-EM

Deep learning in cryo-EM is a computer-based method that uses artificial neural networks to analyze thousands of microscopic images of frozen molecules. These algorithms learn to identify and assemble the many noisy, blurry 2D images into detailed 3D structures of biological molecules. This process accelerates and enhances the accuracy of determining how complex proteins and other structures look at an atomic level, helping scientists understand their function and design new drugs more efficiently. Essentially, deep learning acts as an advanced pattern recognition tool that transforms raw cryo-EM data into precise molecular models.