Evidence map›Paper›PMID 21277311›Full record

ArticleJournal of molecular biology2011

Optimization of the in-silico-designed kemp eliminase KE70 by computational design and directed evolution.

Olga Khersonsky, Daniela Röthlisberger, Andrew M Wollacott, Paul Murphy, Orly Dym, Shira Albeck, Gert Kiss, K N Houk, David Baker, Dan S Tawfik

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 180 citations in OpenAlex.

  1. Predicting Activation Barriers With Ring and Bond Critical Points in the Kemp Elimination Reaction.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  2. Article
  3. Review
  4. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Natural Evolution Provides Strong Hints about Laboratory Evolution of Designer Enzymes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Making Enzymes Suitable for Organic Chemistry by Rational Protein Design.Chembiochem : a European journal of chemical biology · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Tight and specific lanthanide binding in a de novo TIM barrel with a large internal cavity designed by symmetric domain fusion.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Olga KhersonskyDepartment of Biological Chemistry, Weizmann Institute of Science, Rehovot 76100, Israel.
Daniela Röthlisberger
Andrew M Wollacott
Paul Murphy
Orly Dym
Shira Albeck
Gert Kiss
K N Houk
David Baker
Dan S Tawfik
University of Washington · USWeizmann Institute of Science · ILUniversity of California, Los Angeles · US

Funding

TRAINING IN MOLECULAR BIOPHYSICST32GM008268 · NIGMS · UNIVERSITY OF WASHINGTON · PI KOLLMAN, JUSTIN M, ZHENG, NING · 1988 to 2023
$8.6M
NIGMS NIH HHS T32 GM008268
6 · The paper itself

Abstract

Although de novo computational enzyme design has been shown to be feasible, the field is still in its infancy: the kinetic parameters of designed enzymes are still orders of magnitude lower than those of naturally occurring ones. Nonetheless, designed enzymes can be improved by directed evolution, as recently exemplified for the designed Kemp eliminase KE07. Random mutagenesis and screening resulted in variants with >200-fold higher catalytic efficiency and provided insights about features missing in the designed enzyme. Here we describe the optimization of KE70, another designed Kemp eliminase. Amino acid substitutions predicted to improve catalysis in design calculations involving extensive backbone sampling were individually tested. Those proven beneficial were combinatorially incorporated into the originally designed KE70 along with random mutations, and the resulting libraries were screened for improved eliminase activity. Nine rounds of mutation and selection resulted in >400-fold improvement in the catalytic efficiency of the original KE70 design, reflected in both higher k(cat) values and lower K(m) values, with the best variants exhibiting k(cat)/K(m) values of >5×10(4) s(-)(1) M(-1). The optimized KE70 variants were characterized structurally and biochemically, providing insights into the origins of the improvements in catalysis. Three primary contributions were identified: first, the reshaping of the active-site cavity to achieve tighter substrate binding; second, the fine-tuning of electrostatics around the catalytic His-Asp dyad; and, third, the stabilization of the active-site dyad in a conformation optimal for catalysis.

Indexed as

Directed Molecular EvolutionCatalytic DomainComputer SimulationEnzyme StabilityLyasesModels, MolecularMutationProtein ConformationThermodynamicsLyases

Identifiers

PMID21277311
PMCPMC3889864
OpenAlexW2101060473

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.