Deep Chemistry - Protein Folding and Molecular Modeling in Wolfram Language

Explore cutting-edge applications of deep learning in computational chemistry through this 32-minute Wolfram presentation that demonstrates recent advances in local protein folding and interatomic potential modeling. Learn how deep learning techniques are expanding Wolfram Language's capabilities to achieve new levels of accuracy and realism in molecular modeling while maintaining seamless integration within the Wolfram ecosystem. Discover practical implementations of protein folding algorithms and molecular modeling workflows that leverage machine learning to enhance computational chemistry research and applications.