Computational and Experimental Approaches in Protein Engineering and Design
- 1st Edition - October 1, 2026
- Latest edition
- Editors: Aditya Kumar Padhi, Timir Tripathi
- Language: English
Computational and Experimental Approaches in Protein Engineering and Design offers a one-stop resource for students, researchers, and practitioners. Cutting-edge techniques in AI… Read more
Description
Description
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.
Key features
Key features
- 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
Readership
Readership
Table of contents
Table of contents
2. Introduction to the principles of protein engineering
3. Computational methods and tools for protein design and optimization
4. Experimental methods in protein engineering: techniques and applications
5. Engineering antibodies for therapeutic applications
6. Techniques and applications of directed evolution
7. Machine learning and artificial intelligence in protein design
8. Computational protein design for disease mutations and antimicrobial resistance
9. Case studies in protein engineering: successes and challenges
10. Designing protein-based vaccines for immunotherapy
11. Nanobody engineering for next-generation therapeutics
12. Molecular dynamics simulations in protein design and engineering
13. Biophysical characterization methods for evaluating therapeutic proteins
14. Incorporating non-natural amino acids in protein design and expanding the chemical space of proteins.
15. Methods to enhance protein stability and solubility for improved functional efficacy
16. Engineering allosteric regulation and control mechanisms in proteins
17. Design of protein scaffolds for biomaterials and tissue engineering
18. High-throughput screening techniques for identifying therapeutic proteins
19. Advancements in protein conjugation techniques for engineering and design applications
20. Challenges in AI-based approaches for intrinsically disordered proteins
21. The role of machine learning in drug discovery and therapeutic protein design
Product details
Product details
- Edition: 1
- Latest edition
- Published: October 1, 2026
- Language: English
About the editors
About the editors
AP
Aditya Kumar Padhi
TT
Timir Tripathi
Professor Timir Tripathi is a Professor of Molecular Biology, School of Life Sciences, North-Eastern Hill University, Shillong, India. Earlier, he served as the Regional Director of Indira Gandhi National Open University. His previous role was Senior Assistant Professor and Principal Investigator at the Department of Biochemistry, NEHU, Shillong. He holds a Ph.D. from Jawaharlal Nehru University, New Delhi. His primary research focus is studying the conformational dynamics, interaction, and stabilization of the complexes formed by intrinsically disordered neuropathological protein aggregates, their properties of liquid-liquid phase separation, interaction, and roles in nucleocytoplasmic transport in neurodegenerative diseases. Professor Tripathi is an Associate Fellow of the Indian National Science Academy, New Delhi, and an elected member of the National Academy of Sciences, India, the Royal Society of Chemistry, and the Royal Society of Biology, UK