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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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) |
format | Online Article Text |
id | pubmed-9792956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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