ArticleComputational and structural biotechnology journal2022
DisPhaseDB: An integrative database of diseases related variations in liquid-liquid phase separation proteins.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- PhaSeDis: A Manually Curated Database of Phase Separation-disease Associations and Corresponding Small Molecules.Genomics, proteomics & bioinformatics · 2025Article
- Multiple roles of arsenic compounds in phase separation and membraneless organelles formation determine their therapeutic efficacy in tumors.Journal of pharmaceutical analysis · 2024Review
- Phase separations in oncogenesis, tumor progressions and metastasis: a glance from hallmarks of cancer.Journal of hematology & oncology · 2023Review
- Liquid-Liquid Phase Separation Sheds New Light upon Cardiovascular Diseases.International journal of molecular sciences · 2023Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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