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Designing artificial enzymes by intuition and computation

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NATURE CHEMISTRY
卷 2, 期 1, 页码 15-24

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NATURE PUBLISHING GROUP
DOI: 10.1038/NCHEM.473

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资金

  1. NIH [1-DP2-OD006478-01]
  2. NSF [DMR-0907273, MCB-0920448]
  3. City College of New York [P41 GM-66354]
  4. National Center for Research Resources [NIH 5G12 RR03060]
  5. [MCB-5G12 RR03060]
  6. NATIONAL CENTER FOR RESEARCH RESOURCES [G12RR003060] Funding Source: NIH RePORTER
  7. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P41GM066354] Funding Source: NIH RePORTER
  8. OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH [DP2OD006478] Funding Source: NIH RePORTER

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The rational design of artificial enzymes, either by applying physico-chemical intuition of protein structure and function or with the aid of computational methods, is a promising area of research with the potential to tremendously impact medicine, industrial chemistry and energy production. Designed proteins also provide a powerful platform for dissecting enzyme mechanisms of natural systems. Artificial enzymes have come a long way from simple alpha-helical peptide catalysts to proteins that facilitate multistep chemical reactions designed by state-of-the-art computational methods. Looking forward, we examine strategies employed by natural enzymes that could be used to improve the speed and selectivity of artificial catalysts.

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