Welcome to the official repository and documentation overview for THPdb, a manually curated repository of Food and Drug Administration (FDA) approved therapeutic peptides and proteins. This resource provides a comprehensive platform for researchers to explore clinical therapeutics, their drug variants, and their pharmacological profiles to assist in drug discovery.
Web Server: https://webs.iiitd.edu.in/raghava/thpdb/
Usmani, S. S., Bedi, G., Samuel, J. S., Singh, S., Kalra, S., Kumar, P., ... & Raghava, G. P. S. (2017). THPdb: Database of FDA-approved peptide and protein therapeutics. PLOS ONE, 12(7): e0181748. https://doi.org/10.1371/journal.pone.0181748
This dataset can also be found on Zenodo at https://doi.org/10.5281/zenodo.20072945
THPdb was developed to provide the first single, freely available platform dedicated entirely to US-FDA approved protein and peptide therapeutics. It addresses the need for integrated data that was previously scattered across literature and disparate repositories.
The database integrates data from:
- Primary Literature: Information compiled from 985 research publications and 70 patents.
- External Repositories: Data integrated from resources like DrugBank and the Protein Data Bank (PDB).
- 239 unique therapeutics consisting of US-FDA approved peptides and proteins.
- 380 drug variants including modified drug molecules (e.g., PEGylated) and different brand names.
- 852 total entries systematically compiled with detailed pharmacological profiles.
Each record includes:
- Pharmacological Data: Information on half-life, molecular weight, and mechanism of action.
- Chemical Modifications: Details on modifications used to improve therapeutic competency, such as glycosylation.
- Structural Data: 3D structures provided via PDB entries or predicted using I-TASSER and PEPstrMOD.
- Physicochemical Properties: Calculated amino acid composition, hydrophobicity, and isoelectric points.
- Sequence Alignment: Integrated BLAST and Smith-Waterman algorithms for similarity searches against database sequences.
- Search & Browse: Query by therapeutic name, property, or disease, with support for advanced Boolean expressions.
THPdb is organized into primary and secondary data categories to ensure a comprehensive therapeutic profile:
- Primary Information: Core data including sequence, toxicity, and clinical status.
- Drug Variant Data: Information on brand names, manufacturers, and specific modifications.
- Functional Classification: Categorized into four groups: Enzymatic/Regulatory (Group I), Special Targeting (Group II), Vaccines (Group III), and Diagnostic Agents (Group IV).
- Drug Discovery: Identifying strategies used to improve half-life and rate of clearance in therapeutics.
- Molecular Modeling: Utilizing provided 3D structural information for docking and molecular dynamics studies.
- Academic Enhancement: Accessing downloadable, self-explanatory power-point presentations for research and teaching.
Prof. G.P.S. Raghava raghava@imtech.res.in | raghava@iiitd.ac.in Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.
This database is distributed under the Creative Commons Attribution License (CC BY 4.0).