CD-CODE
CD-CODE aggregates literature-derived data and community annotations about biomolecular condensates to support research into their composition, functions, and roles in cellular organization.
Key Features:
- Community-curated annotations: Enables contribution and editing of condensate data and metadata by researchers to incorporate new findings.
- Literature-derived database: Hosts an extensive, centralized repository of biomolecular condensate entries extracted from published literature.
- Condensate encyclopedia: Provides definitions and contextual explanations of terms and concepts related to biomolecular condensates.
- Crowdsourced data aggregation: Integrates community submissions with literature curation to expand and update condensate records.
Scientific Applications:
- Discovery and validation: Facilitates identification and cross-validation of biomolecular condensates by aggregating literature evidence and community reports.
- Functional and compositional analysis: Supports analysis of condensate composition and investigation of their roles in cellular compartmentalization.
- Disease and therapeutic research: Enables investigation of condensate involvement in disease mechanisms and potential therapeutic targeting strategies.
- Interdisciplinary knowledge integration: Consolidates data across disciplines to aid comparative studies and hypothesis generation.
Methodology:
Aggregates and curates entries extracted from existing literature together with community-contributed annotations into a consolidated database and encyclopedia.
Topics
Details
- License:
- CC-BY-SA-4.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, JavaScript
- Added:
- 11/30/2023
- Last Updated:
- 9/29/2025
Operations
Data Inputs & Outputs
Database search
Publications
Rostam N, Ghosh S, Chow CFW, Hadarovich A, Landerer C, Ghosh R, Moon H, Hersemann L, Mitrea DM, Klein IA, Hyman AA, Toth-Petroczy A. CD-CODE: crowdsourcing condensate database and encyclopedia. Nature Methods. 2023;20(5):673-676. doi:10.1038/s41592-023-01831-0. PMID:37024650. PMCID:PMC10172118.
Documentation
API documentation
https://cd-code.org/api-docsCitation instructions
https://cd-code.org/aboutDownloads
- API specificationVersion: 2.0.0rc2https://cd-code.org/api-docs
- Downloads pagehttps://cd-code.org/release