Evidence map›Paper›PMID 24814389›Full record

ReviewCurrent opinion in chemical biology2014

Computer aided enzyme design and catalytic concepts.

Maria P Frushicheva, Matthew J L Mills, Patrick Schopf, Manoj K Singh, Ram B Prasad, Arieh Warshel

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Quantum Chemical Cluster Approach in Biocatalysis.Accounts of chemical research · 2023
    Review
  5. Enzyme Models-From Catalysis to Prodrugs.Molecules (Basel, Switzerland) · 2021
    Review
  6. Review
  7. Review
  8. Article
  9. Directed Evolution of a Designer Enzyme Featuring an Unnatural Catalytic Amino Acid.Angewandte Chemie (International ed. in English) · 2019
    Article
  10. Exploring the challenges of computational enzyme design by rebuilding the active site of a dehalogenase.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Journal of the American Chemical Society · 2017
    Article
  19. IUCrJ · 2017
    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

6 authors.

Maria P FrushichevaDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Matthew J L MillsDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089, USA.
Patrick SchopfDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089, USA.
Manoj K SinghDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089, USA.
Ram B PrasadDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089, USA.
Arieh WarshelDepartment of Chemistry, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: Warshel@usc.edu.

Funding

Mechanistic Analysis of Pol Beta and Cancer-Associated MutantsU19CA105010 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GOODMAN, MYRON · 2004 to 2012
$9.8M
Molecular Mechanisms of Human DNA Polymerase Beta Catalysis, Fidelity and Selective InhibitionU19CA177547 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GOODMAN, MYRON · 2013 to 2017
$5.5M
THEORETICAL STUDIES OF ENZYMATIC REACTIONSR01GM024492 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WARSHEL, ARIEH · 1985 to 2017
$5.0M
NCI NIH HHS 1U19CA105010NCI NIH HHS U19 CA105010NCI NIH HHS U19 CA177547NIGMS NIH HHS GM24491NIGMS NIH HHS R01 GM024492
6 · The paper itself

Abstract

Gaining a deeper understanding of enzyme catalysis is of great practical and fundamental importance. Over the years it has become clear that despite advances made in experimental mutational studies, a quantitative understanding of enzyme catalysis will not be possible without the use of computer modeling approaches. While we believe that electrostatic preorganization is by far the most important catalytic factor, convincing the wider scientific community of this may require the demonstration of effective rational enzyme design. Here we make the point that the main current advances in enzyme design are basically advances in directed evolution and that computer aided enzyme design must involve approaches that can reproduce catalysis in well-defined test cases. Such an approach is provided by the empirical valence bond method.

Indexed as

BiocatalysisComputer-Aided DesignCatalytic DomainEnzymesModels, BiologicalProtein EngineeringEnzymes

Identifiers

PMID24814389
PMCPMC4149935

What OpenQuestion holds

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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.