http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xvi, 343 pages) : illustrations (chiefly color)
This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field.- Provides the authority and expertise of leading contributors from an international board of authors- Presents the latest release in the Methods in Enzymology series.
In vivo site-directed recombination (SDR) : An efficient tool to reveal beneficial epistasis / Javier Viña-Gonzalez and Miguel Alcalde -- A beginner's guide to molecular dynamics simulations and the identification of cross-correlation networks for enzyme engineering / Haoran Yu and Paul A. Dalby -- Exploration of enzyme diversity : High-throughput techniques for protein production and microscale biochemical characterization / Michal Vasina, Pavel Vanacek, Jiri Damborsky, and Zbynek Prokop -- Emulsion-based directed evolution of enzymes and proteins in yeast / Elizabeth C. Gardner, Ella J. Watkins, Jimmy Gollihar, and Andrew D. Ellington -- Remodeling enzyme active sites by stepwise loop insertion / Md Anarul Hoque, Yong Zhang, Zhi Li, Li Cui, and Yan Feng -- Consensus Finder web tool to predict stabilizing substitutions in proteins / Bryan J. Jones, Chi Nok Enoch Kan, Christine Luo, and Romas J. Kazlauskas -- The use of consensus sequence information to engineer stability and activity in proteins / Matt Sternke, Katherine W. Tripp, and Doug Barrick -- Structure-guided rational design of the substrate specificity and catalytic activity of an enzyme / Jung Min Choi and Hak-Sung Kim -- Biological fitness landscapes by deep mutational scanning / Jacob D. Mehlhoff and Marc Ostermeier -- Focused rational iterative site-specific mutagenesis (FRISM) / Danyang Li, Qi Wu, and Manfred T. Reetz -- 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 -- Machine learning-assisted enzyme engineering / Niklas E. Siedhoff, Ulrich Schwaneberg, and Mehdi D. Davari -- Ultrahigh throughput screening for enzyme function in droplets / Stefanie Neun, Paul J. Zurek, Tomasz S. Kaminski, and Florian Hollfelder.