Evidence map›Paper›PMID 20665693›Full record

ArticleProtein science : a publication of the Protein Society2010

Evaluation and ranking of enzyme designs.

Gert Kiss, Daniela Röthlisberger, David Baker, K N Houk

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Computational design of serine hydrolases.Science (New York, N.Y.) · 2025
    Article
  4. Computational design of serine hydrolases.bioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. bioRxiv : the preprint server for biology · 2023
    Article
  7. EnzyHTP Computational Directed Evolution with Adaptive Resource Allocation.Journal of chemical information and modeling · 2023
    Article
  8. Article
  9. Article
  10. Perspective: Path Sampling Methods Applied to Enzymatic Catalysis.Journal of chemical theory and computation · 2022
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Harnessing Conformational Plasticity to Generate Designer Enzymes.Journal of the American Chemical Society · 2020
    Review
  16. Article
  17. Enhancing aChemical science · 2020
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Gert KissDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, USA.
Daniela Röthlisberger
David Baker
K N Houk

Funding

Design of New Enzyme CatalystsR01GM075962 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOUK, KENDALL N · 2009 to 2012
$1.2M
NIGMS NIH HHS R01 GM075962
6 · The paper itself

Abstract

In 2008, a successful computational design procedure was reported that yielded active enzyme catalysts for the Kemp elimination. Here, we studied these proteins together with a set of previously unpublished inactive designs to determine the sources of activity or lack thereof, and to predict which of the designed structures are most likely to be catalytic. Methods that range from quantum mechanics (QM) on truncated model systems to the treatment of the full protein with ONIOM QM/MM and AMBER molecular dynamics (MD) were explored. The most effective procedure involved molecular dynamics, and a general MD protocol was established. Substantial deviations from the ideal catalytic geometries were observed for a number of designs. Penetration of water into the catalytic site and insufficient residue-packing around the active site are the main factors that can cause enzyme designs to be inactive. Where in the past, computational evaluations of designed enzymes were too time-extensive for practical considerations, it has now become feasible to rank and refine candidates computationally prior to and in conjunction with experimentation, thus markedly increasing the efficiency of the enzyme design process.

Indexed as

Molecular Dynamics SimulationCatalysisCatalytic DomainEnzymesHydrogen BondingProtein ConformationQuantum TheoryWaterEnzymesWater

Identifiers

PMID20665693
PMCPMC2975139

What OpenQuestion holds

Textmetadata
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.