Your browser doesn't support javascript.
loading
PhaSePro: the database of proteins driving liquid-liquid phase separation.
Mészáros, Bálint; Erdos, Gábor; Szabó, Beáta; Schád, Éva; Tantos, Ágnes; Abukhairan, Rawan; Horváth, Tamás; Murvai, Nikoletta; Kovács, Orsolya P; Kovács, Márton; Tosatto, Silvio C E; Tompa, Péter; Dosztányi, Zsuzsanna; Pancsa, Rita.
Afiliação
  • Mészáros B; MTA-ELTE Momentum Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest H-1117, Hungary.
  • Erdos G; MTA-ELTE Momentum Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest H-1117, Hungary.
  • Szabó B; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Schád É; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Tantos Á; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Abukhairan R; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Horváth T; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Murvai N; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Kovács OP; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Kovács M; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Tosatto SCE; Department of Biomedical Sciences, University of Padova CNR Institute of Neuroscience, Padova, Italy.
  • Tompa P; Institute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest H-1117, Hungary.
  • Dosztányi Z; Structural Biology (CSB), Brussels, Belgium; Structural Biology Brussels (SBB), Vrije Universiteit Brussel (VUB), Brussels 1050, Belgium.
  • Pancsa R; MTA-ELTE Momentum Bioinformatics Research Group, Department of Biochemistry, Eötvös Loránd University, Budapest H-1117, Hungary.
Nucleic Acids Res ; 48(D1): D360-D367, 2020 01 08.
Article em En | MEDLINE | ID: mdl-31612960
ABSTRACT
Membraneless organelles (MOs) are dynamic liquid condensates that host a variety of specific cellular processes, such as ribosome biogenesis or RNA degradation. MOs form through liquid-liquid phase separation (LLPS), a process that relies on multivalent weak interactions of the constituent proteins and other macromolecules. Since the first discoveries of certain proteins being able to drive LLPS, it emerged as a general mechanism for the effective organization of cellular space that is exploited in all kingdoms of life. While numerous experimental studies report novel cases, the computational identification of LLPS drivers is lagging behind, and many open questions remain about the sequence determinants, composition, regulation and biological relevance of the resulting condensates. Our limited ability to overcome these issues is largely due to the lack of a dedicated LLPS database. Therefore, here we introduce PhaSePro (https//phasepro.elte.hu), an openly accessible, comprehensive, manually curated database of experimentally validated LLPS driver proteins/protein regions. It not only provides a wealth of information on such systems, but improves the standardization of data by introducing novel LLPS-specific controlled vocabularies. PhaSePro can be accessed through an appealing, user-friendly interface and thus has definite potential to become the central resource in this dynamically developing field.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Vocabulário Controlado / Bases de Dados de Proteínas Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Vocabulário Controlado / Bases de Dados de Proteínas Idioma: En Ano de publicação: 2020 Tipo de documento: Article