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Combinatorial and computational challenges for biocatalyst design

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  • Frances H. Arnold

    (California Institute of Technology)

Abstract

Nature provides a fantastic array of catalysts extremely well suited to supporting life, but usually not so well suited for technology. Whether biocatalysis will have a significant technological impact depends on our finding robust routes for tailoring nature's catalysts or redesigning them anew. Laboratory evolution methods are now used widely to fine-tune the selectivity and activity of enzymes. The current rapid development of these combinatorial methods promises solutions to more complex problems, including the creation of new biosynthetic pathways. Computational methods are also developing quickly. The marriage of these approaches will allow us to generate the efficient, effective catalysts needed by the pharmaceutical, food and chemicals industries and should open up new opportunities for producing energy and chemicals from renewable resources.

Suggested Citation

  • Frances H. Arnold, 2001. "Combinatorial and computational challenges for biocatalyst design," Nature, Nature, vol. 409(6817), pages 253-257, January.
    • Handle: RePEc:nat:nature:v:409:y:2001:i:6817:d:10.1038_35051731
    DOI: 10.1038/35051731
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    Cited by:

    1. Y.-H. Percival Zhang & Jonathan R. Mielenz, 2011. "Renewable Hydrogen Carrier — Carbohydrate: Constructing the Carbon-Neutral Carbohydrate Economy," Energies, MDPI, vol. 4(2), pages 1-22, January.
    2. Le Quang Anh Tuan, 2018. "Rational protein design for enhancing thermal stability of industrial enzymes," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 8(1), pages 3-17.

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