Evidence map›Paper›PMID 34093984›Full record

ArticleComputational and structural biotechnology journal2021

Phylogenetic, functional and structural characterization of a GH10 xylanase active at extreme conditions of temperature and alkalinity.

David Talens-Perales, Elena Jiménez-Ortega, Paloma Sánchez-Torres, Julia Sanz-Aparicio, Julio Polaina

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. 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
–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

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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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. A thermostable and CBM2-linked GH10 xylanase fromFrontiers in bioengineering and biotechnology · 2022
    Article
  8. Engineering mesophilic GH11 xylanase fromFrontiers in bioengineering and biotechnology · 2022
    Article
  9. 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

5 authors.

David Talens-PeralesInstitute of Agrochemistry and Food Technology, Spanish National Research Council (CSIC), Paterna, Valencia, Spain.
Elena Jiménez-OrtegaInstitute of Physical-Chemistry Rocasolano, Spanish National Research Council (CSIC), Madrid, Spain.
Paloma Sánchez-TorresInstitute of Agrochemistry and Food Technology, Spanish National Research Council (CSIC), Paterna, Valencia, Spain.
Julia Sanz-AparicioInstitute of Physical-Chemistry Rocasolano, Spanish National Research Council (CSIC), Madrid, Spain.
Julio PolainaInstitute of Agrochemistry and Food Technology, Spanish National Research Council (CSIC), Paterna, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoxylanases active under extreme conditions of temperature and alkalinity can replace the use of highly pollutant chemicals in the pulp and paper industry. Searching for enzymes with these properties, we carried out a comprehensive bioinformatics study of the GH10 family. The phylogenetic analysis allowed the construction of a radial cladogram in which protein sequences putatively ascribed as thermophilic and alkaliphilic appeared grouped in a well-defined region of the cladogram, designated TAK Cluster. One among five TAK sequences selected for experimental analysis (Xyn11) showed extraordinary xylanolytic activity under simultaneous conditions of high temperature (90 °C) and alkalinity (pH 10.5). Addition of a carbohydrate binding domain (CBM2) at the C-terminus of the protein sequence further improved the activity of the enzyme at high pH. Xyn11 structure, which has been solved at 1.8 Å resolution by X-ray crystallography, reveals an unusually high number of hydrophobic, ionic and hydrogen bond atomic interactions that could account for the enzyme's extremophilic nature.

Indexed as

Crystal structureGlycoside hydrolasePulp and paperXylooligosaccharidesXylose

Identifiers

PMID34093984
PMCPMC8148631

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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.