This article explores the foundational principles, computational methodologies, and cutting-edge applications of de novo protein design, firmly rooted in Anfinsen's thermodynamic hypothesis.
This article provides a comprehensive and up-to-date comparison of AlphaFold2 and RoseTTAFold, the two leading AI systems for protein structure prediction.
This comprehensive guide provides researchers, scientists, and drug development professionals with a detailed, step-by-step protocol for AlphaFold2 protein structure prediction.
This article provides a comprehensive guide for researchers and drug development professionals on leveraging AlphaFold2 for enzyme science.
This article provides a comprehensive guide for researchers and drug development professionals on utilizing AlphaFold2 for accurate enzyme function annotation.
This article provides a comprehensive overview of the paradigm shift towards artificial intelligence (AI) in the selection of excipients for enzyme-based drug formulations.
This article provides a comprehensive analysis of AI-driven enzyme design, focusing on the pivotal role of electrostatic preorganization in enhancing catalytic efficiency.
This article explores the transformative role of AI and machine learning in dynamically regulating the biosynthesis of the critical antibiotic component, gentamicin C1a.
This article provides a comprehensive review of the latest AI and machine learning models transforming enzyme function prediction, a critical task in drug discovery and metabolic engineering.
This article provides a comprehensive guide for researchers on the critical validation of AlphaFold2 (AF2)-predicted enzyme structures.