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Beáta Szabó

Researcher at Hungarian Academy of Sciences

Publications -  37
Citations -  1902

Beáta Szabó is an academic researcher from Hungarian Academy of Sciences. The author has contributed to research in topics: Intrinsically disordered proteins & Species richness. The author has an hindex of 14, co-authored 34 publications receiving 1568 citations. Previous affiliations of Beáta Szabó include University of Pannonia & Pázmány Péter Catholic University.

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DisProt: the Database of Disordered Proteins

TL;DR: The Database of Protein Disorder (DisProt) links structure and function information for intrinsically disordered proteins (IDPs) by collecting and organizing knowledge regarding the experimental characterization and the functional associations of IDPs.
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DisProt 7.0: a major update of the database of disordered proteins.

TL;DR: The Database of Protein Disorder (DisProt, URL: www.disprot.org) has been significantly updated and upgraded since its last major renewal in 2007, and is intended to provide an invaluable resource for the research community for a better understanding structural disorder and for developing better computational tools for studying disordered proteins.
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DisProt: intrinsic protein disorder annotation in 2020.

András Hatos, +69 more
TL;DR: Recent developments with DisProt (version 8), including the doubling of protein entries, a new disorder ontology, improvements of the annotation format and a completely new website are reported.
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PhaSePro: the database of proteins driving liquid-liquid phase separation.

TL;DR: PhaSePro is introduced, an openly accessible, comprehensive, manually curated database of experimentally validated LLPS driver proteins/protein regions that not only provides a wealth of information on such systems, but improves the standardization of data by introducing novel LLPS-specific controlled vocabularies.
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Corrigendum: DisProt 7.0: a major update of the database of disordered proteins.

TL;DR: The Database of Protein Disorder (DisProt, URL: www.disprot.org) has been significantly updated and upgraded since its last major renewal in 2007 and is intended to provide an invaluable resource for the research community for a better understanding structural disorder and for developing better computational tools for studying disordered.