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Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering

A significant number of proteins are annotated as functionally uncharacterized proteins. Within this protocol, we describe how to use protein family multiple sequence alignments and structural bioinformatics resources to design loss-of-function mutations of previously uncharacterized proteins within...

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Autores principales: Gerloff, Dietlind L., Ilina, Elena I., Cialini, Camille, Mata Salcedo, Uxue, Mittelbronn, Michel, Müller, Tanja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792956/
https://www.ncbi.nlm.nih.gov/pubmed/36528856
http://dx.doi.org/10.1016/j.xpro.2022.101905
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author Gerloff, Dietlind L.
Ilina, Elena I.
Cialini, Camille
Mata Salcedo, Uxue
Mittelbronn, Michel
Müller, Tanja
author_facet Gerloff, Dietlind L.
Ilina, Elena I.
Cialini, Camille
Mata Salcedo, Uxue
Mittelbronn, Michel
Müller, Tanja
author_sort Gerloff, Dietlind L.
collection PubMed
description A significant number of proteins are annotated as functionally uncharacterized proteins. Within this protocol, we describe how to use protein family multiple sequence alignments and structural bioinformatics resources to design loss-of-function mutations of previously uncharacterized proteins within the glycosyltransferase family. We detail approaches to determine target protein active sites using three-dimensional modeling. We generate active site mutants and quantify any changes in enzymatic function by a glycosyltransferase assay. With modifications, this protocol could be applied to other metal-dependent enzymes. For complete details on the use and execution of this protocol, please refer to Ilina et al. (2022).(1)
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spelling pubmed-97929562022-12-28 Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering Gerloff, Dietlind L. Ilina, Elena I. Cialini, Camille Mata Salcedo, Uxue Mittelbronn, Michel Müller, Tanja STAR Protoc Protocol A significant number of proteins are annotated as functionally uncharacterized proteins. Within this protocol, we describe how to use protein family multiple sequence alignments and structural bioinformatics resources to design loss-of-function mutations of previously uncharacterized proteins within the glycosyltransferase family. We detail approaches to determine target protein active sites using three-dimensional modeling. We generate active site mutants and quantify any changes in enzymatic function by a glycosyltransferase assay. With modifications, this protocol could be applied to other metal-dependent enzymes. For complete details on the use and execution of this protocol, please refer to Ilina et al. (2022).(1) Elsevier 2022-12-17 /pmc/articles/PMC9792956/ /pubmed/36528856 http://dx.doi.org/10.1016/j.xpro.2022.101905 Text en © 2022 The Author(s) https://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 Protocol
Gerloff, Dietlind L.
Ilina, Elena I.
Cialini, Camille
Mata Salcedo, Uxue
Mittelbronn, Michel
Müller, Tanja
Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
title Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
title_full Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
title_fullStr Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
title_full_unstemmed Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
title_short Prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
title_sort prediction and verification of glycosyltransferase activity by bioinformatics analysis and protein engineering
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792956/
https://www.ncbi.nlm.nih.gov/pubmed/36528856
http://dx.doi.org/10.1016/j.xpro.2022.101905
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