Enzyme Engineering and Evolution: General Methods
Series: Methods in Enzymology; 643;
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Product details:
- Publisher Elsevier Science
- Date of Publication 3 September 2020
- ISBN 9780128211496
- Binding Hardback
- No. of pages360 pages
- Size 229x152 mm
- Weight 700 g
- Language English 92
Categories
Long description:
This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field.
MoreTable of Contents:
1. In vivo site-directed recombination (SDR): An efficient tool to reveal beneficial epistasis
Javier Viï¿1⁄2a-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
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