Evidence map›Paper›PMID 19297237›Full record

ReviewCurrent opinion in chemical biology2009

Computational tools for designing and engineering biocatalysts.

Jiri Damborsky, Jan Brezovsky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current opinion in chemical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. MinimalistACS catalysis · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Protein design for pathway engineering.Journal of structural biology · 2014
    Review
  16. Review
  17. Article
  18. Review
  19. Recent advances in rational approaches for enzyme engineering.Computational and structural biotechnology journal · 2012
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jiri DamborskyInstitute of Experimental Biology and National Centre for Biomolecular Research, Masaryk University, Brno, Czech Republic. jiri@chemi.muni.cz
Jan Brezovsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current computational tools to assist experimentalists for the design and engineering of proteins with desired catalytic properties are reviewed. The applications of these tools for de novo design of protein active sites, optimization of substrate access and product exit pathways, redesign of protein-protein interfaces, identification of neutral/advantageous/deleterious mutations in the libraries from directed evolution and stabilization of protein structures are described. Remarkable progress is seen in de novo design of enzymes catalyzing a chemical reaction for which a natural biocatalyst does not exist. Yet, constructed biocatalysts do not match natural enzymes in their efficiency, suggesting that more research is needed to capture all the important features of natural biocatalysts in theoretical designs.

Indexed as

BiocatalysisCatalytic DomainComputational BiologyLigandsMutationProtein EngineeringProteinsProtein StabilityLigandsProteins

Identifiers

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.