AI Protein Design: Engineering Custom Proteins with Machine Learning

Artificial intelligence is transforming biotechnology by enabling the creation of custom proteins for real-world challenges. This course introduces you to modern AI-driven protein engineering, guiding you through the computational concepts used to design functional proteins from scratch. You will gain a solid foundation in computational protein design, learning how machine learning models predict structures and generate novel biological sequences for medicine, diagnostics, and environmental sustainability. What you'll learn: - Understand essential protein structure fundamentals and core biological terminology - Explore structure prediction concepts and modern protein language model architectures - Learn how generative AI models design de novo protein sequences and tertiary structures - Analyze AI protein engineering workflows for therapeutic and diagnostic use cases - Apply computational strategies to design enzymes for environmental applications like plastic degradation - Evaluate candidate protein designs using modern stability and quality assessment metrics. The course begins with key terminology and foundational concepts in biochemistry and machine learning before exploring generative workflows. Through clear written explanations and practical conceptual exercises, you will build actionable knowledge in computational biotechnology. Designed for beginners in life sciences, computer science, or bioinformatics, this course requires no prior advanced background. Step into the future of biological engineering and start reading today.