Literature DB >> 15218149

Computational design of a biologically active enzyme.

Mary A Dwyer1, Loren L Looger, Homme W Hellinga.   

Abstract

Rational design of enzymes is a stringent test of our understanding of protein chemistry and has numerous potential applications. Here, we present and experimentally validate the computational design of enzyme activity in proteins of known structure. We have predicted mutations that introduce triose phosphate isomerase activity into ribose-binding protein, a receptor that normally lacks enzyme activity. The resulting designs contain 18 to 22 mutations, exhibit 10(5)- to 10(6)-fold rate enhancements over the uncatalyzed reaction, and are biologically active, in that they support the growth of Escherichia coli under gluconeogenic conditions. The inherent generality of the design method suggests that many enzymes can be designed by this approach.

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Year:  2004        PMID: 15218149     DOI: 10.1126/science.1098432

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  63 in total

1.  Improving computational protein design by using structure-derived sequence profile.

Authors:  Liang Dai; Yuedong Yang; Hyung Rae Kim; Yaoqi Zhou
Journal:  Proteins       Date:  2010-08-01

2.  Designing functional metalloproteins: from structural to catalytic metal sites.

Authors:  Melissa L Zastrow; Vincent L Pecoraro
Journal:  Coord Chem Rev       Date:  2013-09       Impact factor: 22.315

3.  One- and two-body decomposable Poisson-Boltzmann methods for protein design calculations.

Authors:  Shannon A Marshall; Christina L Vizcarra; Stephen L Mayo
Journal:  Protein Sci       Date:  2005-03-31       Impact factor: 6.725

4.  Computational thermostabilization of an enzyme.

Authors:  Aaron Korkegian; Margaret E Black; David Baker; Barry L Stoddard
Journal:  Science       Date:  2005-05-06       Impact factor: 47.728

Review 5.  Laboratory-directed protein evolution.

Authors:  Ling Yuan; Itzhak Kurek; James English; Robert Keenan
Journal:  Microbiol Mol Biol Rev       Date:  2005-09       Impact factor: 11.056

6.  Simple electrostatic model improves designed protein sequences.

Authors:  Eric S Zollars; Shannon A Marshall; Stephen L Mayo
Journal:  Protein Sci       Date:  2006-07-05       Impact factor: 6.725

7.  Affinity enhancement of an in vivo matured therapeutic antibody using structure-based computational design.

Authors:  Louis A Clark; P Ann Boriack-Sjodin; John Eldredge; Christopher Fitch; Bethany Friedman; Karl J M Hanf; Matthew Jarpe; Stefano F Liparoto; You Li; Alexey Lugovskoy; Stephan Miller; Mia Rushe; Woody Sherman; Kenneth Simon; Herman Van Vlijmen
Journal:  Protein Sci       Date:  2006-04-05       Impact factor: 6.725

8.  An empirical test of the concomitantly variable codon hypothesis.

Authors:  Lauren M F Merlo; Mark Lunzer; Antony M Dean
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-19       Impact factor: 11.205

9.  Incorporation of a single His residue by rational design enables thiol-ester hydrolysis by human glutathione transferase A1-1.

Authors:  Sofia Hederos; Kerstin S Broo; Emma Jakobsson; Gerard J Kleywegt; Bengt Mannervik; Lars Baltzer
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-27       Impact factor: 11.205

Review 10.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

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