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.

PMID: 31584089
PMCID: PMC6943039
Funding: - National Key Research and Development Program of China: 2017YFA0505503, 2018YFA0507504 - National Natural Science Foundation of China: 31871343, 61773025