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Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases

Understanding the molecular adaptations of organisms to extreme environments requires a comparative analysis of protein structure, function, and dynamics across species found in different environmental conditions. Computational studies can be particularly useful in this pursuit, allowing exploratory...

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Detalles Bibliográficos
Autores principales: Diessner, Elizabeth M., Takahashi, Gemma R., Martin, Rachel W., Butts, Carter T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953012/
https://www.ncbi.nlm.nih.gov/pubmed/36830697
http://dx.doi.org/10.3390/biom13020328
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author Diessner, Elizabeth M.
Takahashi, Gemma R.
Martin, Rachel W.
Butts, Carter T.
author_facet Diessner, Elizabeth M.
Takahashi, Gemma R.
Martin, Rachel W.
Butts, Carter T.
author_sort Diessner, Elizabeth M.
collection PubMed
description Understanding the molecular adaptations of organisms to extreme environments requires a comparative analysis of protein structure, function, and dynamics across species found in different environmental conditions. Computational studies can be particularly useful in this pursuit, allowing exploratory studies of large numbers of proteins under different thermal and chemical conditions that would be infeasible to carry out experimentally. Here, we perform such a study of the MEROPS family S11, S12, and S13 proteases from psychophilic, mesophilic, and thermophilic bacteria. Using a combination of protein structure prediction, atomistic molecular dynamics, and trajectory analysis, we examine both conserved features and trends across thermal groups. Our findings suggest a number of hypotheses for experimental investigation.
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spelling pubmed-99530122023-02-25 Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases Diessner, Elizabeth M. Takahashi, Gemma R. Martin, Rachel W. Butts, Carter T. Biomolecules Article Understanding the molecular adaptations of organisms to extreme environments requires a comparative analysis of protein structure, function, and dynamics across species found in different environmental conditions. Computational studies can be particularly useful in this pursuit, allowing exploratory studies of large numbers of proteins under different thermal and chemical conditions that would be infeasible to carry out experimentally. Here, we perform such a study of the MEROPS family S11, S12, and S13 proteases from psychophilic, mesophilic, and thermophilic bacteria. Using a combination of protein structure prediction, atomistic molecular dynamics, and trajectory analysis, we examine both conserved features and trends across thermal groups. Our findings suggest a number of hypotheses for experimental investigation. MDPI 2023-02-09 /pmc/articles/PMC9953012/ /pubmed/36830697 http://dx.doi.org/10.3390/biom13020328 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Diessner, Elizabeth M.
Takahashi, Gemma R.
Martin, Rachel W.
Butts, Carter T.
Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases
title Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases
title_full Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases
title_fullStr Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases
title_full_unstemmed Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases
title_short Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases
title_sort comparative modeling and analysis of extremophilic d-ala-d-ala carboxypeptidases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953012/
https://www.ncbi.nlm.nih.gov/pubmed/36830697
http://dx.doi.org/10.3390/biom13020328
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