TUPDB
TUPDB catalogs target-unrelated peptides (TUPs) to support interpretation and filtering of phage display selection (biopanning) results.
Key Features:
- Curated TUP collection: Contains 73 experimentally confirmed TUPs and 1963 potential TUPs.
- Data sources: Aggregates entries from TUPScan, the BDB database, and public research articles.
- Manual curation: Entries are manually curated to enhance data accuracy and reliability.
- Integration with TUPScan: Linked with TUPScan to facilitate detailed analysis and detection of TUPs.
- TUP identification and removal: Provides data and functionality to identify and eliminate target-unrelated peptides from phage display datasets.
Scientific Applications:
- Phage display analysis: Improves interpretation of biopanning results by distinguishing true binders from TUPs.
- Epitope mapping: Enhances epitope mapping quality by removing confounding TUPs from datasets.
- Vaccine development: Supports selection of genuine target-binding peptides for vaccine antigen discovery.
- Diagnostics: Aids identification of specific peptide biomarkers by excluding nonspecific TUPs.
- Therapeutics discovery: Assists therapeutic peptide discovery by filtering out target-unrelated sequences.
Methodology:
Entries were aggregated from TUPScan, the BDB database, and public research articles and manually curated; the database integrates with TUPScan to enable detailed analysis and identification/removal of TUPs.
Topics
Details
- Tool Type:
- web application
- Added:
- 12/13/2021
- Last Updated:
- 12/13/2021
Operations
Data Inputs & Outputs
Database search
Inputs
Outputs
Publications
He B, Yang S, Long J, Chen X, Zhang Q, Gao H, Chen H, Huang J. TUPDB: Target-Unrelated Peptide Data Bank. Interdisciplinary Sciences: Computational Life Sciences. 2021;13(3):426-432. doi:10.1007/s12539-021-00436-5. PMID:33993461.
PMID: 33993461
Funding: - National Natural Science Foundation of China: 61901129, 61901130, 62071099
- Guizhou University: (2018)54, (2018)55
- Guizhou Science and Technology Department: (2018)5781, [2020]1Y345, [2020]1Y407
- China Postdoctoral Science Foundation: 2019M653369, 2019M660236