Freshly Printed - allow 10 days lead
Enzyme Engineering and Evolution: General Methods
A new volume in the Methods in Enzymology series that focuses on enzyme engineering and evolution, including directed evolution
Dan S. Tawfik (Volume editor)
9780128211496, Elsevier Science
Hardback, published 3 September 2020
360 pages
22.9 x 15.1 x 2.5 cm, 0.7 kg
This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field.
1. In vivo site-directed recombination (SDR): An efficient tool to reveal beneficial epistasis Javier Viña-Gonzalez and Miguel Alcalde 2. A beginner's guide to molecular dynamics simulations and the identification of cross-correlation networks for enzyme engineering Haoran Yu and Paul A. Dalby 3. Exploration of enzyme diversity: High-throughput techniques for protein production and microscale biochemical characterization Michal Vasina, Pavel Vanacek, Jiri Damborsky and Zbynek Prokop 4. Emulsion-based directed evolution of enzymes and proteins in yeast Elizabeth C. Gardner, Ella J. Watkins, Jimmy Gollihar and Andrew D. Ellington 5. Remodeling enzyme active sites by stepwise loop insertion Md Anarul Hoque, Yong Zhang, Li Zhi, Li Cui and Yan Feng 6. Consensus Finder web tool to predict stabilizing substitutions in proteins Bryan J. Jones, Chi Nok Enoch Kan, Christine Luo and Romas J. Kazlauskas 7. The use of consensus sequence information to engineer stability and activity in proteins Matt Sternke, Katherine W. Tripp and Doug Barrick 8. Structure-guided rational design of the substrate specificity and catalytic activity of an enzyme Jung Min Choi and Hak-Sung Kim 9. Biological fitness landscapes by deep mutational scanning Jacob D. Mehlhoff and Marc Ostermeier 10. Focused rational iterative site-specific mutagenesis (FRISM) Danyang Li, Qi Wu and Manfred T. Reetz 11. Statistical analysis of mutational epistasis to reveal intramolecular interaction networks in proteins Charlotte M. Miton, John Z. Chen, Kalum Ost, Dave W. Anderson and Nobuhiko Tokuriki 12. Machine learning-assisted enzyme engineering Niklas E. Siedhoff, Ulrich Schwaneberg and Mehdi D. Davari 13. Ultrahigh throughput screening for enzyme function in droplets Stefanie Neun, Paul J. Zurek, Tomasz S. Kaminski and Florian Hollfelder