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.

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