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

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.

PMID: 37024650
Funding: - Deutsche Forschungsgemeinschaft: EXC-2068 – 390729961

Documentation

Citation instructions
https://cd-code.org/about

Downloads

Links