Evidence map›Paper›PMID 31487855›Full record

ArticleMolecules (Basel, Switzerland)2019

Molecular Dynamics Gives New Insights into the Glucose Tolerance and Inhibition Mechanisms on β-Glucosidases.

Leon Sulfierry Corrêa Costa, Diego César Batista Mariano, Rafael Eduardo Oliveira Rocha, Johannes Kraml, Carlos Henrique da Silveira, Klaus Roman Liedl, Raquel Cardoso de Melo-Minardi, Leonardo Henrique Franca de Lima

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. 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
1.5field-weighted citation impact, top 17% 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, 27 citations in OpenAlex.

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  6. Release of Soybean Isoflavones by Using a β-Glucosidase from Alicyclobacillus herbarius.Chembiochem : a European journal of chemical biology · 2021
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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 4 institutions in 2 countries.

Leon Sulfierry Corrêa CostaLaboratory of Molecular and Bioinformatics Modeling, Department of Exact and Biological Sciences (DECEB), Universidade Federal de São João Del-Rei, Campus Sete Lagoas, Sete Lagoas 35701-970, Brazil.
Diego César Batista MarianoLaboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil.
Rafael Eduardo Oliveira RochaLaboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil.
Johannes KramlInstitute of General, Inorganic and Theoretical Chemistry (IGITC), Center for Molecular Biosciences Innsbruck (CMBI), Leopold-Franzens-Universität-Innsbruck, Innrain 82, 6020 Innsbruck, Austria.
Carlos Henrique da SilveiraInstitute of Technological Sciences, Universidade Federal de Itajubá, Campus Itabira, Itabira 35903-087, Brazil.
Klaus Roman LiedlInstitute of General, Inorganic and Theoretical Chemistry (IGITC), Center for Molecular Biosciences Innsbruck (CMBI), Leopold-Franzens-Universität-Innsbruck, Innrain 82, 6020 Innsbruck, Austria.ORCID 0000-0002-0985-2299
Raquel Cardoso de Melo-MinardiLaboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil.
Leonardo Henrique Franca de LimaLaboratory of Molecular and Bioinformatics Modeling, Department of Exact and Biological Sciences (DECEB), Universidade Federal de São João Del-Rei, Campus Sete Lagoas, Sete Lagoas 35701-970, Brazil. leofrancalima@ufsj.edu.br.
Universidade Federal de Minas Gerais · BRFederal University of São João del-Rei · BRUniversität Innsbruck · ATUniversidade Federal de Itajubá · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 51/2013 - 23038.004007/2014-82
6 · The paper itself

Abstract

β-Glucosidases are enzymes with high importance for many industrial processes, catalyzing the last and limiting step of the conversion of lignocellulosic material into fermentable sugars for biofuel production. However, β-glucosidases are inhibited by high concentrations of the product (glucose), which limits the biofuel production on an industrial scale. For this reason, the structural mechanisms of tolerance to product inhibition have been the target of several studies. In this study, we performed in silico experiments, such as molecular dynamics (MD) simulations, free energy landscape (FEL) estimate, Poisson-Boltzmann surface area (PBSA), and grid inhomogeneous solvation theory (GIST) seeking a better understanding of the glucose tolerance and inhibition mechanisms of a representative GH1 β-glucosidase and a GH3 one. Our results suggest that the hydrophobic residues Y180, W350, and F349, as well the polar one D238 act in a mechanism for glucose releasing, herein called "slingshot mechanism", dependent also on an allosteric channel (AC). In addition, water activity modulation and the protein loop motions suggest that GH1 β-Glucosidases present an active site more adapted to glucose withdrawal than GH3, in consonance with the GH1s lower product inhibition. The results presented here provide directions on the understanding of the molecular mechanisms governing inhibition and tolerance to the product in β-glucosidases and can be useful for the rational design of optimized enzymes for industrial interests.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationAmino Acidsbeta-GlucosidaseCatalytic DomainGlucoseKineticsLigandsMolecular ConformationProtein BindingStructure-Activity RelationshipSubstrate SpecificityAmino Acidsbeta-GlucosidaseGlucoseLigandsallosteric channelfree energy landscapeGH1GH3glucose tolerancegrid inhomogeneous solvation theorymolecular dynamics simulationPoisson–Boltzmann surface areaslingshot mechanismβ-Glucosidases

Identifiers

PMID31487855
PMCPMC6766793
OpenAlexW2971621892

What OpenQuestion holds

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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.