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A3DyDB: exploring structural aggregation propensities in the yeast proteome
BACKGROUND: The budding yeast Saccharomyces cerevisiae (S. cerevisiae) is a well-established model system for studying protein aggregation due to the conservation of essential cellular structures and pathways found across eukaryotes. However, limited structural knowledge of its proteome has prevente...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504709/ https://www.ncbi.nlm.nih.gov/pubmed/37716955 http://dx.doi.org/10.1186/s12934-023-02182-3 |
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author | Garcia-Pardo, Javier Badaczewska-Dawid, Aleksandra E. Pintado-Grima, Carlos Iglesias, Valentín Kuriata, Aleksander Kmiecik, Sebastian Ventura, Salvador |
author_facet | Garcia-Pardo, Javier Badaczewska-Dawid, Aleksandra E. Pintado-Grima, Carlos Iglesias, Valentín Kuriata, Aleksander Kmiecik, Sebastian Ventura, Salvador |
author_sort | Garcia-Pardo, Javier |
collection | PubMed |
description | BACKGROUND: The budding yeast Saccharomyces cerevisiae (S. cerevisiae) is a well-established model system for studying protein aggregation due to the conservation of essential cellular structures and pathways found across eukaryotes. However, limited structural knowledge of its proteome has prevented a deeper understanding of yeast functionalities, interactions, and aggregation. RESULTS: In this study, we introduce the A3D yeast database (A3DyDB), which offers an extensive catalog of aggregation propensity predictions for the S. cerevisiae proteome. We used Aggrescan 3D (A3D) and the newly released protein models from AlphaFold2 (AF2) to compute the structure-based aggregation predictions for 6039 yeast proteins. The A3D algorithm exploits the information from 3D protein structures to calculate their intrinsic aggregation propensities. To facilitate simple and intuitive data analysis, A3DyDB provides a user-friendly interface for querying, browsing, and visualizing information on aggregation predictions from yeast protein structures. The A3DyDB also allows for the evaluation of the influence of natural or engineered mutations on protein stability and solubility. The A3DyDB is freely available at http://biocomp.chem.uw.edu.pl/A3D2/yeast. CONCLUSION: The A3DyDB addresses a gap in yeast resources by facilitating the exploration of correlations between structural aggregation propensity and diverse protein properties at the proteome level. We anticipate that this comprehensive database will become a standard tool in the modeling of protein aggregation and its implications in budding yeast. |
format | Online Article Text |
id | pubmed-10504709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105047092023-09-17 A3DyDB: exploring structural aggregation propensities in the yeast proteome Garcia-Pardo, Javier Badaczewska-Dawid, Aleksandra E. Pintado-Grima, Carlos Iglesias, Valentín Kuriata, Aleksander Kmiecik, Sebastian Ventura, Salvador Microb Cell Fact Research BACKGROUND: The budding yeast Saccharomyces cerevisiae (S. cerevisiae) is a well-established model system for studying protein aggregation due to the conservation of essential cellular structures and pathways found across eukaryotes. However, limited structural knowledge of its proteome has prevented a deeper understanding of yeast functionalities, interactions, and aggregation. RESULTS: In this study, we introduce the A3D yeast database (A3DyDB), which offers an extensive catalog of aggregation propensity predictions for the S. cerevisiae proteome. We used Aggrescan 3D (A3D) and the newly released protein models from AlphaFold2 (AF2) to compute the structure-based aggregation predictions for 6039 yeast proteins. The A3D algorithm exploits the information from 3D protein structures to calculate their intrinsic aggregation propensities. To facilitate simple and intuitive data analysis, A3DyDB provides a user-friendly interface for querying, browsing, and visualizing information on aggregation predictions from yeast protein structures. The A3DyDB also allows for the evaluation of the influence of natural or engineered mutations on protein stability and solubility. The A3DyDB is freely available at http://biocomp.chem.uw.edu.pl/A3D2/yeast. CONCLUSION: The A3DyDB addresses a gap in yeast resources by facilitating the exploration of correlations between structural aggregation propensity and diverse protein properties at the proteome level. We anticipate that this comprehensive database will become a standard tool in the modeling of protein aggregation and its implications in budding yeast. BioMed Central 2023-09-16 /pmc/articles/PMC10504709/ /pubmed/37716955 http://dx.doi.org/10.1186/s12934-023-02182-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Garcia-Pardo, Javier Badaczewska-Dawid, Aleksandra E. Pintado-Grima, Carlos Iglesias, Valentín Kuriata, Aleksander Kmiecik, Sebastian Ventura, Salvador A3DyDB: exploring structural aggregation propensities in the yeast proteome |
title | A3DyDB: exploring structural aggregation propensities in the yeast proteome |
title_full | A3DyDB: exploring structural aggregation propensities in the yeast proteome |
title_fullStr | A3DyDB: exploring structural aggregation propensities in the yeast proteome |
title_full_unstemmed | A3DyDB: exploring structural aggregation propensities in the yeast proteome |
title_short | A3DyDB: exploring structural aggregation propensities in the yeast proteome |
title_sort | a3dydb: exploring structural aggregation propensities in the yeast proteome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504709/ https://www.ncbi.nlm.nih.gov/pubmed/37716955 http://dx.doi.org/10.1186/s12934-023-02182-3 |
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