Evidence map›Paper›PMID 26788125›Full record

ArticleBiotechnology for biofuels2016

Investigation of the binding properties of a multi-modular GH45 cellulase using bioinspired model assemblies.

Monica Fong, Jean-Guy Berrin, Gabriel Paës

Abstract read
In one paragraph

Article in Biotechnology for biofuels, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Monica FongUMR0614, Fractionnement des AgroRessources et Environnement, INRA, 2 esplanade Roland-Garros, 51100 Reims, France ; UMR0614, Fractionnement des AgroRessources et Environnement, University of Reims Champagne Ardenne, 2 esplanade Roland-Garros, 51100 Reims, France.
Jean-Guy BerrinUMR1163, Biodiversité et Biotechnologie Fongiques, INRA, 13288 Marseille, France ; UMR1163, Biodiversité et Biotechnologie Fongiques, Aix Marseille Université, 13288 Marseille, France ; UMR1163, Biodiversité et Biotechnologie Fongiques, Polytech'Marseille, 13288 Marseille, France.
Gabriel PaësUMR0614, Fractionnement des AgroRessources et Environnement, INRA, 2 esplanade Roland-Garros, 51100 Reims, France ; UMR0614, Fractionnement des AgroRessources et Environnement, University of Reims Champagne Ardenne, 2 esplanade Roland-Garros, 51100 Reims, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnzymes degrading plant biomass polymers are widely used in biotechnological applications. Their efficiency can be limited by non-specific interactions occurring with some chemical motifs. In particular, the lignin component is known to bind enzymes irreversibly. In order to determine interactions of enzymes with their substrates, experiments are usually performed on isolated simple polymers which are not representative of plant cell wall complexity. But when using natural plant substrates, the role of individual chemical and structural features affecting enzyme-binding properties is also difficult to decipher.

resultsWe have designed and used lignified model assemblies of plant cell walls as templates to characterize binding properties of multi-modular cellulases. These three-dimensional assemblies are modulated in their composition using the three principal polymers found in secondary plant cell walls (cellulose, hemicellulose, and lignin). Binding properties of enzymes are obtained from the measurement of their mobility that depends on their interactions with the polymers and chemical motifs of the assemblies. The affinity of the multi-modular GH45 cellulase was characterized using a statistical analysis to determine the role played by each assembly polymer. Presence of hemicellulose had much less impact on affinity than cellulose and model lignin. Depending on the number of CBMs appended to the cellulase catalytic core, binding properties toward cellulose and lignin were highly contrasted.

conclusionsModel assemblies bring new insights into the molecular determinants that are responsible for interactions between enzymes and substrate without the need of complex analysis. Consequently, we believe that model bioinspired assemblies will provide relevant information for the design and optimization of enzyme cocktails in the context of biorefineries.

Indexed as

AffinityCarbohydrate-binding moduleCellulaseInteractionLignocelluloseModel assembliesModularity

Identifiers

PMID26788125
PMCPMC4717654

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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.