Häftad, Engelska, 2026

Computational and Experimental Approaches in Protein Engineering and Design

4379 kr

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Beskrivning

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

Produktinformation

Utgivningsdatum: 2026-10-23
Mått: 152 x 229 x undefined mm
Vikt: 450 g
Format: Häftad
Språk: Engelska
Antal sidor: 996
Förlag: Elsevier Science
ISBN: 9780443445361

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Dr Aditya Kumar Padhi is an Assistant Professor at the School of Biochemical Engineering, Indian Institute of Technology (IIT-BHU), Varanasi, India. He earned his Ph.D. from the Indian Institute of Technology, Delhi (IIT Delhi) in 2015 and currently leads the Laboratory for Computational Biology and Biomolecular Design (LCBD) at IIT-BHU. His lab specializes in Computational Biology, Protein Design, Structural and Translational Informatics, Computational Biophysics, Antimicrobial Resistance, Predictive Modelling, Biomolecular Simulations, Conformational Analyses, Machine Learning, and Disease Mechanisms Dr. Timir Tripathi is a Professor of Molecular Biology, School of Life Sciences, North-Eastern Hill University, Shillong, India. He previously held positions as Regional Director of IGNOU in Kohima and a Senior Assistant Professor in the Department of Biochemistry at NEHU. His research focuses on protein–substrate interactions, conformational dynamics, and the regulatory roles of non-catalytic domains. He is especially interested in intrinsically disordered and phase-separated proteins, their roles in disease, and, more recently, molecular memory, adaptive learning, and intelligence in proteins. Professor Tripathi has received several awards and is an Associate Fellow of the Indian National Science Academy, New Delhi, and an elected member of the National Academy of Sciences, India. He is a section editor of Elsevier's International Journal of Biological Macromolecules and has published five books with Elsevier.

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