Volume 91, Issue 2 pp. 218-236
RESEARCH ARTICLE

Thermostabilizing mechanisms of canonical single amino acid substitutions at a GH1 β-glucosidase probed by multiple MD and computational approaches

Rafael Eduardo Oliveira Rocha

Rafael Eduardo Oliveira Rocha

Laboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Campus Sete Lagoas, Universidade Federal de São João Del Rei, Sete Lagoas, Brazil

Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

Laboratory of Molecular Modeling and Drug Design, Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

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Diego César Batista Mariano

Diego César Batista Mariano

Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

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Tiago Silva Almeida

Tiago Silva Almeida

Laboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Campus Sete Lagoas, Universidade Federal de São João Del Rei, Sete Lagoas, Brazil

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Leon Sulfierry CorrêaCosta

Leon Sulfierry CorrêaCosta

Laboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Campus Sete Lagoas, Universidade Federal de São João Del Rei, Sete Lagoas, Brazil

Computational Modeling Coordination (COMOD), Laboratório Nacional de Computação Científica (LNCC), Petrópolis, Brazil

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Pedro Henrique Camargo Fischer

Pedro Henrique Camargo Fischer

Laboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Campus Sete Lagoas, Universidade Federal de São João Del Rei, Sete Lagoas, Brazil

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Lucianna Helene Santos

Lucianna Helene Santos

Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

Laboratory of Molecular Modeling and Drug Design, Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

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Ernesto Raul Caffarena

Ernesto Raul Caffarena

Scientific Computing Program, Fiocruz, Rio de Janeiro, Brazil

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Carlos Henrique da Silveira

Carlos Henrique da Silveira

Technological Sciences Institute, Universidade Federal de Itajubá, Itabira, Minas Gerais, Brazil

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Leonida M. Lamp

Leonida M. Lamp

Institute of General, Inorganic and Theoretical Chemistry, and Center for Chemistry and Biomedicine Innsbruck (CCB), University of Innsbruck, Innsbruck, Austria

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Monica Lisa Fernandez-Quintero

Monica Lisa Fernandez-Quintero

Institute of General, Inorganic and Theoretical Chemistry, and Center for Chemistry and Biomedicine Innsbruck (CCB), University of Innsbruck, Innsbruck, Austria

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Klaus Roman Liedl

Klaus Roman Liedl

Institute of General, Inorganic and Theoretical Chemistry, and Center for Chemistry and Biomedicine Innsbruck (CCB), University of Innsbruck, Innsbruck, Austria

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Raquel Cardoso de Melo-Minardi

Raquel Cardoso de Melo-Minardi

Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

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Leonardo Henrique França de Lima

Corresponding Author

Leonardo Henrique França de Lima

Laboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Campus Sete Lagoas, Universidade Federal de São João Del Rei, Sete Lagoas, Brazil

Institute of General, Inorganic and Theoretical Chemistry, and Center for Chemistry and Biomedicine Innsbruck (CCB), University of Innsbruck, Innsbruck, Austria

Correspondence

Leonardo Henrique França de Lima, Laboratory of Molecular Modelling and Bioinformatics (LAMMB), Department of Physical and Biological Sciences, Campus Sete Lagoas, Universidade Federal de São João Del Rei, 35701-970 SeteLagoas - MG, Brazil.

Email: [email protected]

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First published: 17 September 2022

Rafael Eduardo Oliveira Rocha and Diego César Batista Mariano contributed equally to this work.

Funding information: Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Abstract

β-glucosidases play a pivotal role in second-generation biofuel (2G-biofuel) production. For this application, thermostable enzymes are essential due to the denaturing conditions on the bioreactors. Random amino acid substitutions have originated new thermostable β-glucosidases, but without a clear understanding of their molecular mechanisms. Here, we probe by different molecular dynamics simulation approaches with distinct force fields and submitting the results to various computational analyses, the molecular bases of the thermostabilization of the Paenibacillus polymyxa GH1 β-glucosidase by two-point mutations E96K (TR1) and M416I (TR2). Equilibrium molecular dynamic simulations (eMD) at different temperatures, principal component analysis (PCA), virtual docking, metadynamics (MetaDy), accelerated molecular dynamics (aMD), Poisson-Boltzmann surface analysis, grid inhomogeneous solvation theory and colony method estimation of conformational entropy allow to converge to the idea that the stabilization carried by both substitutions depend on different contributions of three classic mechanisms: (i) electrostatic surface stabilization; (ii) efficient isolation of the hydrophobic core from the solvent, with energetic advantages at the solvation cap; (iii) higher distribution of the protein dynamics at the mobile active site loops than at the protein core, with functional and entropic advantages. Mechanisms i and ii predominate for TR1, while in TR2, mechanism iii is dominant. Loop A integrity and loops A, C, D, and E dynamics play critical roles in such mechanisms. Comparison of the dynamic and topological changes observed between the thermostable mutants and the wildtype protein with amino acid co-evolutive networks and thermostabilizing hotspots from the literature allow inferring that the mechanisms here recovered can be related to the thermostability obtained by different substitutions along the whole family GH1. We hope the results and insights discussed here can be helpful for future rational approaches to the engineering of optimized β-glucosidases for 2G-biofuel production for industry, biotechnology, and science.

CONFLICT OF INTERESTS

The authors declare no conflict of interest.

DATA AVAILABILITY STATEMENT

The data that support the findings were of this study derived from the following resources available in the public domain: https://www.rcsb.org/structure/5IDI, https://www.rcsb.org/structure/4MDO, https://www.rcsb.org/structure/4PTX

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