Literature DB >> 34125378

Towards an Understanding of Oxidative Damage in an α-L-Arabinofuranosidase of Trichoderma reesei: a Molecular Dynamics Approach.

Jesus D Castaño1,2, Mowei Zhou3, Jonathan Schilling4.   

Abstract

Trichoderma reesei is a "workhorse" fungus that produces glycosyl hydrolases (e.g., cellulases) at high titers for use in industrial bioprocessing. In this study, we focused on α-L-arabinofuranosidase, an enzyme important for the treatment of lignocellulosic biomass, but susceptible to oxidative damage that can occur during industrial processing. The molecular details that render this enzyme inactive have not yet been identified. To approach this issue, we used proteomics to identify amino acid residues that were oxidized after a relevant oxidative treatment (Fenton reaction). These oxidative modifications were included in the 3D protein structures, and using molecular dynamics simulations, we then studied the behaviors of non-modified and oxidized enzymes. These simulations showed significant alterations of the conformational stability of the protein when oxidized, as evidenced by changes in root mean square deviation (RMSD) and principal component analyses (PCA) trajectories. Likewise, enzyme-ligand interactions such as hydrogen bonds were greatly reduced in quantity and quality in the oxidized protein. Finally, free energy landscape plots showed that there was a more rugged energy surface in the oxidized protein, implying a less favorable reaction pathway. These results reveal the basis for loss of function in this carbohydrate active enzyme (CAZY) in the commercially relevant fungus T. reesei.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Denature; Docking; Enzyme activity; Free energy landscape; Hemicellulase; PCA trajectory

Mesh:

Substances:

Year:  2021        PMID: 34125378     DOI: 10.1007/s12010-021-03594-w

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  19 in total

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2.  Predicting hydrogen-bond strengths from acid-base molecular properties. The pK(a) slide rule: toward the solution of a long-lasting problem.

Authors:  Paola Gilli; Loretta Pretto; Valerio Bertolasi; Gastone Gilli
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Authors:  Roman A Laskowski; Mark B Swindells
Journal:  J Chem Inf Model       Date:  2011-10-05       Impact factor: 4.956

4.  Oxidative Damage Control during Decay of Wood by Brown Rot Fungus Using Oxygen Radicals.

Authors:  Jesus D Castaño; Jiwei Zhang; Claire E Anderson; Jonathan S Schilling
Journal:  Appl Environ Microbiol       Date:  2018-10-30       Impact factor: 4.792

5.  A Completely Reimplemented MPI Bioinformatics Toolkit with a New HHpred Server at its Core.

Authors:  Lukas Zimmermann; Andrew Stephens; Seung-Zin Nam; David Rau; Jonas Kübler; Marko Lozajic; Felix Gabler; Johannes Söding; Andrei N Lupas; Vikram Alva
Journal:  J Mol Biol       Date:  2017-12-16       Impact factor: 5.469

6.  A genomics-informed study of oxalate and cellulase regulation by brown rot wood-degrading fungi.

Authors:  Gerald N Presley; Jiwei Zhang; Jonathan S Schilling
Journal:  Fungal Genet Biol       Date:  2016-08-16       Impact factor: 3.495

7.  Pretreatment and enzymatic saccharification of corn fiber.

Authors:  B C Saha; R J Bothast
Journal:  Appl Biochem Biotechnol       Date:  1999-02       Impact factor: 2.926

8.  A calculation of all possible oligosaccharide isomers both branched and linear yields 1.05 x 10(12) structures for a reducing hexasaccharide: the Isomer Barrier to development of single-method saccharide sequencing or synthesis systems.

Authors:  R A Laine
Journal:  Glycobiology       Date:  1994-12       Impact factor: 4.313

9.  Cellulose degrading enzymes and their potential industrial applications.

Authors:  M K Bhat; S Bhat
Journal:  Biotechnol Adv       Date:  1997       Impact factor: 14.227

Review 10.  Fungal bioconversion of lignocellulosic residues; opportunities & perspectives.

Authors:  Mehdi Dashtban; Heidi Schraft; Wensheng Qin
Journal:  Int J Biol Sci       Date:  2009-09-04       Impact factor: 6.580

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