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The PRALINE database: protein and Rna humAn singLe nucleotIde variaNts in condEnsates

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  • معلومة اضافية
    • Contributors:
      Vandelli, Andrea; Arnal Segura, Magdalena; Monti, Michele; Fiorentino, Jonathan; Broglia, Laura; Colantoni, Alessio; Sanchez de Groot, Natalia; Torrent Burgas, Marc; Armaos, Alexandro; Tartaglia, Gian Gaetano
    • بيانات النشر:
      Oxford University Press
    • الموضوع:
      2023
    • Collection:
      Sapienza Università di Roma: CINECA IRIS
    • نبذة مختصرة :
      Summary: Biological condensates are membraneless organelles with different material properties. Proteins and RNAs are the main components, but most of their interactions are still unknown. Here, we introduce PRALINE, a database for the interrogation of proteins and RNAs contained in stress granules, processing bodies and other assemblies including droplets and amyloids. PRALINE provides information about the predicted and experimentally validated protein-protein, protein-RNA and RNA-RNA interactions. For proteins, it reports the liquid-liquid phase separation and liquid-solid phase separation propensities. For RNAs, it provides information on predicted secondary structure content. PRALINE shows detailed information on human single-nucleotide variants, their clinical significance and presence in protein and RNA binding sites, and how they can affect condensates' physical properties. Availability and implementation: PRALINE is freely accessible on the web at http://praline.tartaglialab.com.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/36592044; info:eu-repo/semantics/altIdentifier/wos/WOS:001025519200032; volume:39; issue:1; numberofpages:3; journal:BIOINFORMATICS; https://hdl.handle.net/11573/1666765; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145954607
    • الرقم المعرف:
      10.1093/bioinformatics/btac847
    • الدخول الالكتروني :
      https://hdl.handle.net/11573/1666765
      https://doi.org/10.1093/bioinformatics/btac847
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.9D81CFCD