Artículo
DisPhaseDB: An integrative database of diseases related variations in liquid–liquid phase separation proteins
Navarro, Alvaro Martin
; Orti, Fernando Ezequiel
; Martinez Perez, Elizabeth
; Alonso, Macarena; Simonetti, Franco Lucio
; Iserte, Javier Alonso
; Marino Buslje, Cristina
Fecha de publicación:
01/2022
Editorial:
Elsevier
Revista:
Computational and Structural Biotechnology Journal
ISSN:
2001-0370
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Motivation: Proteins involved in liquid–liquid phase separation (LLPS) and membraneless organelles (MLOs) are recognized to be decisive for many biological processes and also responsible for several diseases. The recent explosion of research in the area still lacks tools for the analysis and data integration among different repositories. Currently, there is not a comprehensive and dedicated database that collects all disease-related variations in combination with the protein location, biological role in the MLO, and all the metadata available for each protein and disease. Disease-related protein variants and additional features are dispersed and the user has to navigate many databases, with a different focus, formats, and often not user friendly. Results: We present DisPhaseDB, a database dedicated to disease-related variants of liquid–liquid phase separation proteins. It integrates 10 databases, contains 5,741 proteins, 1,660,059 variants, and 4,051 disease terms. It also offers intuitive navigation and an informative display. It constitutes a pivotal starting point for further analysis, encouraging the development of new computational tools. The database is freely available at http://disphasedb.leloir.org.ar.
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Articulos(IIBBA)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Citación
Navarro, Alvaro Martin; Orti, Fernando Ezequiel; Martinez Perez, Elizabeth; Alonso, Macarena; Simonetti, Franco Lucio; et al.; DisPhaseDB: An integrative database of diseases related variations in liquid–liquid phase separation proteins; Elsevier; Computational and Structural Biotechnology Journal; 20; 1-2022; 2551-2557
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