Evidence map›Paper›PMID 23275541›Full record

ArticleNucleic acids research2013

Engineering of a target site-specific recombinase by a combined evolution- and structure-guided approach.

Josephine Abi-Ghanem, Janet Chusainow, Madina Karimova, Christopher Spiegel, Helga Hofmann-Sieber, Joachim Hauber, Frank Buchholz, M Teresa Pisabarro

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  4. Precise excision of HTLV-1 provirus with a designer-recombinase.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
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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

8 authors at 2 institutions in 1 country.

Josephine Abi-GhanemStructural Bioinformatics, BIOTEC TU Dresden, Tatzberg 47-51, 01037 Dresden, Germany.
Janet Chusainow
Madina Karimova
Christopher Spiegel
Helga Hofmann-Sieber
Joachim Hauber
Frank Buchholz
M Teresa Pisabarro
TU Dresden · DELeibniz Institute of Virology (LIV) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Site-specific recombinases (SSRs) can perform DNA rearrangements, including deletions, inversions and translocations when their naive target sequences are placed strategically into the genome of an organism. Hence, in order to employ SSRs in heterologous hosts, their target sites have to be introduced into the genome of an organism before the enzyme can be practically employed. Engineered SSRs hold great promise for biotechnology and advanced biomedical applications, as they promise to extend the usefulness of SSRs to allow efficient and specific recombination of pre-existing, natural genomic sequences. However, the generation of enzymes with desired properties remains challenging. Here, we use substrate-linked directed evolution in combination with molecular modeling to rationally engineer an efficient and specific recombinase (sTre) that readily and specifically recombines a sequence present in the HIV-1 genome. We elucidate the role of key residues implicated in the molecular recognition mechanism and we present a rationale for sTre's enhanced specificity. Combining evolutionary and rational approaches should help in accelerating the generation of enzymes with desired properties for use in biotechnology and biomedicine.

Indexed as

Attachment Sites, MicrobiologicalDirected Molecular EvolutionDNAModels, MolecularProtein BindingRecombinasesDNARecombinases

Identifiers

PMID23275541
PMCPMC3575804
OpenAlexW2132422391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.