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.