Evidence map›Paper›PMID 32390956›Full record

ArticleFrontiers in microbiology2020

High Throughput Screening for New Fungal Polyester Hydrolyzing Enzymes.

Simone Weinberger, Reinhard Beyer, Christoph Schüller, Joseph Strauss, Alessandro Pellis, Doris Ribitsch, Georg M Guebitz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 36 citations in OpenAlex.

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  6. Trends inComputational and structural biotechnology journal · 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

7 authors at 2 institutions in 1 country.

Simone WeinbergerDepartment of Agrobiotechnology, Institute of Environmental Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Reinhard BeyerDepartment of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria.
Christoph SchüllerDepartment of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria.
Joseph StraussDepartment of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria.
Alessandro PellisDepartment of Agrobiotechnology, Institute of Environmental Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Doris RibitschDepartment of Agrobiotechnology, Institute of Environmental Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Georg M GuebitzDepartment of Agrobiotechnology, Institute of Environmental Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
BOKU University · ATAustrian Centre of Industrial Biotechnology (Austria) · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a strong need for novel and more efficient polyester hydrolyzing enzymes in order to enable the development of more environmentally friendly plastics recycling processes allowing the closure of the carbon cycle. In this work, a high throughput system on microplate scale was used to screen a high number of fungi for their ability to produce polyester-hydrolyzing enzymes. For induction of responsible enzymes, the fungi were cultivated in presence of aliphatic and aromatic polyesters [poly(1,4-butylene adipate

Indexed as

environmentally friendlyfungi inductionplastic degradationpolyester hydrolyzing enzymesscreening

Identifiers

PMID32390956
PMCPMC7193820
OpenAlexW3018132119

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.