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Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design

Computationally driven engineering of proteins aims to allow them to withstand an extended range of conditions and to mediate modified or novel functions. Therefore, it is crucial to the biotechnological industry, to biomedicine and to afford new challenges in environmental sciences, such as biocata...

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Autores principales: Vascon, Filippo, Gasparotto, Matteo, Giacomello, Marta, Cendron, Laura, Bergantino, Elisabetta, Filippini, Francesco, Righetto, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355722/
https://www.ncbi.nlm.nih.gov/pubmed/32695270
http://dx.doi.org/10.1016/j.csbj.2020.06.029
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author Vascon, Filippo
Gasparotto, Matteo
Giacomello, Marta
Cendron, Laura
Bergantino, Elisabetta
Filippini, Francesco
Righetto, Irene
author_facet Vascon, Filippo
Gasparotto, Matteo
Giacomello, Marta
Cendron, Laura
Bergantino, Elisabetta
Filippini, Francesco
Righetto, Irene
author_sort Vascon, Filippo
collection PubMed
description Computationally driven engineering of proteins aims to allow them to withstand an extended range of conditions and to mediate modified or novel functions. Therefore, it is crucial to the biotechnological industry, to biomedicine and to afford new challenges in environmental sciences, such as biocatalysis for green chemistry and bioremediation. In order to achieve these goals, it is important to clarify molecular mechanisms underlying proteins stability and modulating their interactions. So far, much attention has been given to hydrophobic and polar packing interactions and stability of the protein core. In contrast, the role of electrostatics and, in particular, of surface interactions has received less attention. However, electrostatics plays a pivotal role along the whole life cycle of a protein, since early folding steps to maturation, and it is involved in the regulation of protein localization and interactions with other cellular or artificial molecules. Short- and long-range electrostatic interactions, together with other forces, provide essential guidance cues in molecular and macromolecular assembly. We report here on methods for computing protein electrostatics and for individual or comparative analysis able to sort proteins by electrostatic similarity. Then, we provide examples of electrostatic analysis and fingerprints in natural protein evolution and in biotechnological design, in fields as diverse as biocatalysis, antibody and nanobody engineering, drug design and delivery, molecular virology, nanotechnology and regenerative medicine.
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spelling pubmed-73557222020-07-20 Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design Vascon, Filippo Gasparotto, Matteo Giacomello, Marta Cendron, Laura Bergantino, Elisabetta Filippini, Francesco Righetto, Irene Comput Struct Biotechnol J Review Article Computationally driven engineering of proteins aims to allow them to withstand an extended range of conditions and to mediate modified or novel functions. Therefore, it is crucial to the biotechnological industry, to biomedicine and to afford new challenges in environmental sciences, such as biocatalysis for green chemistry and bioremediation. In order to achieve these goals, it is important to clarify molecular mechanisms underlying proteins stability and modulating their interactions. So far, much attention has been given to hydrophobic and polar packing interactions and stability of the protein core. In contrast, the role of electrostatics and, in particular, of surface interactions has received less attention. However, electrostatics plays a pivotal role along the whole life cycle of a protein, since early folding steps to maturation, and it is involved in the regulation of protein localization and interactions with other cellular or artificial molecules. Short- and long-range electrostatic interactions, together with other forces, provide essential guidance cues in molecular and macromolecular assembly. We report here on methods for computing protein electrostatics and for individual or comparative analysis able to sort proteins by electrostatic similarity. Then, we provide examples of electrostatic analysis and fingerprints in natural protein evolution and in biotechnological design, in fields as diverse as biocatalysis, antibody and nanobody engineering, drug design and delivery, molecular virology, nanotechnology and regenerative medicine. Research Network of Computational and Structural Biotechnology 2020-06-30 /pmc/articles/PMC7355722/ /pubmed/32695270 http://dx.doi.org/10.1016/j.csbj.2020.06.029 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Vascon, Filippo
Gasparotto, Matteo
Giacomello, Marta
Cendron, Laura
Bergantino, Elisabetta
Filippini, Francesco
Righetto, Irene
Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design
title Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design
title_full Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design
title_fullStr Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design
title_full_unstemmed Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design
title_short Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design
title_sort protein electrostatics: from computational and structural analysis to discovery of functional fingerprints and biotechnological design
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355722/
https://www.ncbi.nlm.nih.gov/pubmed/32695270
http://dx.doi.org/10.1016/j.csbj.2020.06.029
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