Neu
Computational and Experimental Approaches in Protein Engineering and Design
-
- Taschenbuch
- eBook ausgewählt
-
Form:Einzelkauf Download
-
Sprache:Englisch
277,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
23.10.2026
Herausgeber
Aditya Kumar Padhi + weitereVerlag
Elsevier Science & Techn.Seitenzahl
600 (Printausgabe)
Dateigröße
47157 KB
Sprache
Englisch
EAN
9780443445378
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
- 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
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice