Evidence map›Paper›PMID 28250941›Full record

ArticleIUCrJ2017

Beat Anton Amrein, Fabian Steffen-Munsberg, Ireneusz Szeler, Miha Purg, Yashraj Kulkarni, Shina Caroline Lynn Kamerlin

Abstract read
In one paragraph

Article in IUCrJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Mutexa: A Computational Ecosystem for Intelligent Protein Engineering.Journal of chemical theory and computation · 2023
    Review
  7. EnzyHTP Computational Directed Evolution with Adaptive Resource Allocation.Journal of chemical information and modeling · 2023
    Article
  8. Article
  9. Article
  10. Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Harnessing Conformational Plasticity to Generate Designer Enzymes.Journal of the American Chemical Society · 2020
    Review
  15. Article
  16. Review
  17. Machine learning-assisted directed protein evolution with combinatorial libraries.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Role of conformational dynamics in the evolution of novel enzyme function.Chemical communications (Cambridge, England) · 2018
    Review
  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

6 authors.

Beat Anton AmreinScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.
Fabian Steffen-MunsbergScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.
Ireneusz SzelerScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.
Miha PurgScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.
Yashraj KulkarniScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.ORCID https://orcid.org/0000-0002-7643-9867
Shina Caroline Lynn KamerlinScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University , BMC Box 596, S-751 24 Uppsala, Sweden.

Funding

European Research Council 306474
6 · The paper itself

Abstract

The tremendous interest in enzymes as biocatalysts has led to extensive work in enzyme engineering, as well as associated methodology development. Here, a new framework for computer-aided directed evolution of enzymes (

Indexed as

computational directed evolutioncomputational enzyme designdistributed computingempirical valence bondtriosephosphate isomerase

Identifiers

PMID28250941
PMCPMC5331465

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.