CD-CODE 2.0: an enhanced condensate knowledgebase integrating pathobiology, condensate modulating drugs, and host–pathogen interactions

CD-CODE 2.0 (https://cd-code.org) is an enhanced web application and database of condensates, expanding the utility of version 1.0 for biomedical research. New features include data on nucleic acids condensate components, infectious condensates, condensate modulating drugs, and disease-linked condensates. Enhanced search functions, programmatic access, and relational architecture enable interconnectivity across major biomedical databases (e.g. condensates, proteins, chemistry, and disease), fostering systems-level insights and accelerating hypothesis generation and therapeutic discovery through the lens of condensate biology.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-11-08
DOI
https://doi.org/10.1093/nar/gkaf1104
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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CD-CODE 2.0: an enhanced condensate knowledgebase integrating pathobiology, condensate modulating drugs, and host–pathogen interactions

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article

CD-CODE 2.0: an enhanced condensate knowledgebase integrating pathobiology, condensate modulating drugs, and host–pathogen interactions

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article en
1 citations

Abstract

CD-CODE 2.0 (https://cd-code.org) is an enhanced web application and database of condensates, expanding the utility of version 1.0 for biomedical research. New features include data on nucleic acids condensate components, infectious condensates, condensate modulating drugs, and disease-linked condensates. Enhanced search functions, programmatic access, and relational architecture enable interconnectivity across major biomedical databases (e.g. condensates, proteins, chemistry, and disease), fostering systems-level insights and accelerating hypothesis generation and therapeutic discovery through the lens of condensate biology.

Nucleic Acids ResearchVol. 54(D1)
SUNY Upstate Medical University (US), Max Planck Institute for Medical Research (DE), Center for Systems Biology Dresden (DE), Max Planck Institute of Molecular Cell Biology and Genetics (DE), Technische Universität Dresden (DE), Viewpoints Research Institute (US)
Openalex Percentile: Top 12%
Computational Drug Discovery Methods
1.50
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