Evidence map›Paper›PMID 19199564›Full record

ArticleACS chemical biology2009

A general method for scanning unnatural amino acid mutagenesis.

Kelly A Daggett, Mark Layer, T Ashton Cropp

Abstract readLetter
In one paragraph

Article in ACS chemical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Directed evolution of the fluorescent protein CGP withApplied and environmental microbiology · 2024
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Exploring the potential impact of an expanded genetic code on protein function.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Experimental methods for scanning unnatural amino acid mutagenesis.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
  13. Synthetic approach to stop-codon scanning mutagenesis.Journal of the American Chemical Society · 2011
    Article
  14. Optimizing non-natural protein function with directed evolution.Current opinion in chemical biology · 2011
    Review
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

3 authors.

Kelly A Daggett
Mark Layer
T Ashton Cropp

Funding

Scanning amino acid mutagenesis for protein engineeringR01GM084396 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI CROPP, THOMAS ASHTON · 2008 to 2015
$1.0M
NIGMS NIH HHS GM084396NIGMS NIH HHS R01 GM084396
6 · The paper itself

Abstract

Current approaches to protein site-directed mutagenesis require an independent user operation for each mutation. This can impede large-scale scanning mutagenesis projects such as the mapping of protein interaction surfaces, active sites, or epitopes. It also prevents the creation of protein libraries of defined complexity for directed evolution purposes. Here we present a simple, fast, and effective way to perform scanning codon mutagenesis throughout a protein sequence. The process allows the researcher to define the new codon change, and therefore any amino acid mutation can be achieved. We demonstrate this approach by creating a library of proteins that contain single unnatural amino acid mutations encoded by the amber stop codon, TAG. The mutant proteins generated by this method can be expressed and assayed individually or used together as a mixed population of "rationally diversified" protein sequences.

Indexed as

Amino Acid SequenceAmino Acid SubstitutionPeptide LibraryCloning, MolecularCodonCodon, TerminatorEscherichia coliGene LibraryGlutathione TransferaseMutagenesis, Site-DirectedMutant ProteinsTransformation, BacterialCodonCodon, TerminatorGlutathione TransferaseMutant ProteinsPeptide Library

Identifiers

PMID19199564
PMCPMC2765485

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.