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A3D database: structure-based predictions of protein aggregation for the human proteome

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cris.lastimport.scopus2024-02-12T19:51:02Z
dc.abstract.enProtein aggregation is associated with many human disorders and constitutes a major bottleneck for producing therapeutic proteins. Our knowledge of the human protein structures repertoire has dramatically increased with the recent development of the AlphaFold (AF) deep-learning method. This structural information can be used to understand better protein aggregation properties and the rational design of protein solubility. This article uses the Aggrescan3D (A3D) tool to compute the structure-based aggregation predictions for the human proteome and make the predictions available in a database form. In the A3D database, we analyze the AF-predicted human protein structures (for over 20.5 thousand unique Uniprot IDs) in terms of their aggregation properties using the A3D tool. Each entry of the A3D database provides a detailed analysis of the structure-based aggregation propensity computed with A3D. The A3D database implements simple but useful graphical tools for visualizing and interpreting protein structure datasets. It also enables testing the influence of user-selected mutations on protein solubility and stability, all integrated into a user-friendly interface.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorKmiecik, Sebastian
dc.contributor.authorVentura, Salvador
dc.contributor.authorPujols, Jordi
dc.contributor.authorKuriata, Aleksander
dc.contributor.authorGarcia-Pardo, Javier
dc.contributor.authorBadaczewska-Dawid, Aleksandra E
dc.date.accessioned2024-01-24T15:36:27Z
dc.date.available2024-01-24T15:36:27Z
dc.date.issued2022
dc.description.financePublikacja bezkosztowa
dc.description.number11
dc.description.volume38
dc.identifier.doi10.1093/BIOINFORMATICS/BTAC215
dc.identifier.issn1367-4803
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/100104
dc.identifier.weblinkhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btac215/43460456/btac215.pdf
dc.languageeng
dc.pbn.affiliationchemical sciences
dc.relation.ispartofBioinformatics
dc.relation.pages3121-3123
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleA3D database: structure-based predictions of protein aggregation for the human proteome
dc.typeJournalArticle
dspace.entity.typePublication