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Updated: Dec 8, 2025

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Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers
Published on: September 4, 2015
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Protein Databases Related to Liquid-Liquid Phase Separation.
Qian Li1, Xi Wang1, Zhihui Dou1
1College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
International Journal of Molecular Sciences
|September 19, 2020
Summary
Liquid-liquid phase separation (LLPS) drives membraneless organelle formation and regulates cell functions. This review compares six key LLPS databases, aiding research in biomolecular condensate understanding and prediction.
Area of Science:
- Biochemistry and Molecular Biology
- Cell Biology
- Biophysics
Background:
- Liquid-liquid phase separation (LLPS) is crucial for forming membraneless organelles (MLOs) or biomolecular condensates.
- LLPS regulates diverse physiological processes and is implicated in disease development.
- Recent research intensifies focus on LLPS functions, drivers, and regulatory mechanisms within cells.
Purpose of the Study:
- To systematically compare six major databases related to LLPS and MLOs.
- To evaluate data content, annotations, organization, and unique features of these resources.
- To guide researchers in selecting appropriate databases for studying biomolecular phase separation.
Main Methods:
- Comparative analysis of six LLPS-related databases (LLPSDB, PhaSePro, PhaSepDB, DrLLPS, RNAgranuleDB, HUMAN CELL MAP).
- Evaluation of database content, annotation depth, and structural organization.
- Identification of overlaps, differences, and specific applications for each database.
Main Results:
- Databases vary in data scope, annotation detail, and organizational structure.
- Key differences and overlaps among the six databases were identified.
- Unique features of each database were highlighted, indicating specific use cases.
Conclusions:
- These databases provide invaluable resources for understanding LLPS and MLOs.
- The comparative analysis aids in selecting optimal tools for biomolecular condensate research.
- These resources support advancements in phase-separating protein prediction and design.
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