Enzyme engineering and evolution : general methods

著者

    • Tawfik, Dan S.

書誌事項

Enzyme engineering and evolution : general methods

edited by Dan S. Tawfik

(Methods in enzymology / editors-in-chief, Anna Marie Pyle, David W. Christianson, v. 643)

Academic Press, an imprint of Elsevier, 2020

  • : hbk

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注記

Includes bibliographical references

内容説明・目次

内容説明

This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field.

目次

1. In vivo site-directed recombination (SDR): An efficient tool to reveal beneficial epistasis Javier Vina-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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詳細情報

  • NII書誌ID(NCID)
    BC02854060
  • ISBN
    • 9780128211496
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Cambridge, Mass.
  • ページ数/冊数
    xvi, 343 p.
  • 大きさ
    24 cm
  • 分類
  • 件名
  • 親書誌ID
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