Evidence map›Paper›PMID 17189477›Full record

ArticleProtein science : a publication of the Protein Society2007

Redesigning protein pKa values.

Barbara Mary Tynan-Connolly, Jens Erik Nielsen

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Acid-resistant enzymes: the acquisition strategies and applications.Applied microbiology and biotechnology · 2023
    Review
  3. Article
  4. Rational and Semirational Protein Design.Methods in molecular biology (Clifton, N.J.) · 2018
    Review
  5. Article
  6. Article
  7. Article
  8. Communications in computational physics · 2013
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Computational approaches for rational design of proteins with novel functionalities.Computational and structural biotechnology journal · 2012
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

2 authors.

Barbara Mary Tynan-ConnollySchool of Biomolecular and Biomedical Science, Centre for Synthesis and Chemical Biology, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Jens Erik Nielsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to re-engineer enzymatic pH-activity profiles is of importance for industrial applications of enzymes. We theoretically explore the feasibility of re-engineering enzymatic pH-activity profiles by changing active site pK(a) values using point mutations. We calculate the maximum achievable DeltapK(a) values for 141 target titratable groups in seven enzymes by introducing conservative net-charge altering point mutations. We examine the importance of the number of mutations introduced, their distance from the target titratable group, and the characteristics of the target group itself. The results show that multiple mutations at 10A can change pK(a) values up to two units, but that the introduction of a requirement to keep other pK(a) values constant reduces the magnitude of the achievable DeltapK(a). The algorithm presented shows a good correlation with existing experimental data and is available for download and via a web server at http://enzyme.ucd.ie/pKD.

Indexed as

AlgorithmsBinding SitesComputational BiologyHydrogen-Ion ConcentrationKineticsMutationProteinsReproducibility of ResultsStatic ElectricityProteins

Identifiers

PMID17189477
PMCPMC2203286

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.