AI-driven protein design by Huan Yee Koh & Yizhen Zheng & Madeleine Yang & Rohit Arora & Geoffrey I. Webb & Shirui Pan & Li Li & George M. Church instant download

AI-driven protein design by Huan Yee Koh & Yizhen Zheng & Madeleine Yang & Rohit Arora & Geoffrey I. Webb & Shirui Pan & Li Li & George M. Church instant download

Protein design is undergoing a revolution driven by artifcial intelligence Introduction(AI), transforming how we engineer proteins for applications in drug AI-driven protein designdiscovery, biotechnology and synthetic biology. By navigating the AI toolkits for protein designimmense complexity of protein sequence space and overcoming the AI-driven protein design limitations of structural and functional data, AI enables unprecedented case studiesprecision and speed in designing novel proteins with tailored functions. OutlookCentral to this Review is a comprehensive and actionable roadmap for designers, providing step-by-step guidance on how to integrate state-of-the-art AI tools into protein design workfows, including tools for structural and functional prediction as well as generative models for de novo design. To illustrate this roadmap in practice, we present case studies showcasing AI-driven protein design, from engineering therapeutic proteins to designing novel proteins that unlock enzyme functions and reprogramme biomolecular systems. Looking ahead, we outline future directions highlighting the vast potential of AI to revolutionize synthetic biology, expedite drug development and drive sustainable biotechnology, positioning it as a transformative force at the forefront of protein design.