ConjuPepDB
ConjuPepDB catalogs peptide-drug conjugates and their chemical and biomedical metadata to support research on targeted delivery, linker design, and therapeutic efficacy.
Key Features:
- Database scope: Contains over 1,600 peptide-drug conjugates compiled from approximately 230 publications.
- Component annotation: Records the three constituent components of conjugates: the small drug molecule, the peptide providing site-specificity, and the chemical linker (including biodegradable linkers).
- Chemical identifiers: Includes CAS numbers and chemical structures for recorded conjugates.
- Conjugation chemistry: Documents types of chemical conjugation employed for linking drugs to peptides.
- Biomedical metadata: Captures reported biomedical applications associated with each conjugate.
- Curation and annotation: Entries are curated and annotated by experts to ensure accuracy of extracted data.
Scientific Applications:
- Targeted delivery and site-specificity: Supports investigation of peptide-mediated targeting strategies for site-specific drug delivery.
- Controlled release studies: Enables analysis of linkers, including biodegradable linkers, that facilitate controlled drug release.
- Design and optimization: Provides reference data for design and optimization of peptide-drug conjugates and linker selection.
- Conjugation strategy assessment: Facilitates comparison of chemical conjugation methods used in peptide-drug conjugates.
- Drug development and biomedical research: Serves as a dataset to inform preclinical development and biomedical research on therapeutic efficacy and side-effect mitigation.
Methodology:
Entries were manually curated and annotated from approximately 230 publications.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Balogh B, Ivánczi M, Nizami B, Beke-Somfai T, Mándity IM. ConjuPepDB: a database of peptide–drug conjugates. Nucleic Acids Research. 2020;49(D1):D1102-D1112. doi:10.1093/nar/gkaa950. PMID:33125057. PMCID:PMC7778964.
DOI: 10.1093/nar/gkaa950
PMID: 33125057
PMCID: PMC7778964
Funding: - Hungarian Academy of Sciences: LP2016-2, LP2017-8
- National Competitiveness and Excellence Program: NVKP_16-1-2016-0007
- National Research, Development and Innovation Fund: 2018-1.2.1-NKP