Academic Press Computational and Experimental Approaches in Protein Engineering and Design

Computational and Experimental Approaches in Protein Engineering and Design offers a one-stop resource for students, researchers, and practitioners. Cutting-edge techniques in AI and machine learning applications are expertly covered in the book, empowering readers with the tools they need to tackle modern challenges in biotechnology and therapeutics. Step-by-step protocols provide readers with actionable guidance to transition smoothly from computational modelling to laboratory implementation. The inclusion of real-world case studies makes the theoretical concepts relatable and actionable and immediately applicable to solving complex problems, such as producing protein-based vaccines for immunotherapy. The book’s focus on synthetic biology positions it at the forefront of innovation, appealing to a broad audience, from those involved in tissue engineering to those exploring next-generation therapeutics. With its forward-looking approach, emphasizing machine-learning-driven protein design and nanobody engineering, this book is an indispensable resource for researchers preparing to navigate the future of biotechnology. Bridges theoretical knowledge with the latest practical advances in computational and experimental protein engineering Enables readers to leverage computational and experimental approaches synergistically, which is increasingly crucial in drug discovery, enzyme engineering, and synthetic biology Details methods such as directed evolution, rational design, and machine-learning-based protein modeling that are essential for researchers aiming to use these methods in tandem