PhaSepDB
PhaSepDB curates a database of proteins associated with liquid-liquid phase separation (LLPS) and membraneless organelles to support identification and analysis of sequence features underlying LLPS.
Key Features:
- Curated protein collection: Contains 2,914 non-redundant proteins manually curated based on their localization in various organelles.
- Data sources: Entries are derived from published scientific literature and public databases.
- Entry annotations: Each protein entry includes detailed summaries, literature references, and specific sequence features indicative of LLPS behavior.
- Molecular signatures: Provides molecular signatures derived from known sequence characteristics to identify potential phase separation-related proteins across the human proteome.
Scientific Applications:
- Identification of LLPS-associated proteins: Facilitates discovery and cataloging of proteins involved in LLPS and formation of membraneless organelles.
- Sequence determinant analysis: Enables analysis of sequence features associated with LLPS to generate hypotheses about molecular determinants of phase separation.
- Proteome-wide screening: Supports screening the human proteome for candidate phase-separating proteins using derived molecular signatures.
- Mechanistic and disease research: Supports investigation of mechanisms of phase separation and its implications for cellular function and disease.
Methodology:
Data were manually curated from published literature and public databases, and molecular signatures were derived from known sequence characteristics; each entry includes annotated sequence features and literature references.
Topics
Details
- Added:
- 1/9/2020
- Last Updated:
- 11/24/2024
Operations
Publications
You K, Huang Q, Yu C, Shen B, Sevilla C, Shi M, Hermjakob H, Chen Y, Li T. PhaSepDB: a database of liquid–liquid phase separation related proteins. Nucleic Acids Research. 2019;48(D1):D354-D359. doi:10.1093/nar/gkz847. PMID:31584089. PMCID:PMC6943039.
DOI: 10.1093/nar/gkz847
PMID: 31584089
PMCID: PMC6943039
Funding: - National Key Research and Development Program of China: 2017YFA0505503, 2018YFA0507504
- National Natural Science Foundation of China: 31871343, 61773025