CancerPPD is a comprehensive database of experimentally validated anticancer peptides (ACPs) and anticancer proteins developed to support peptide-based cancer therapeutics research. The database integrates detailed information about peptide sequences, structures, modifications, cancer cell line activity, and bioinformatics analysis tools.
Web Server: https://webs.iiitd.edu.in/raghava/cancerppd/
ZENODO : https://doi.org/10.5281/zenodo.20073637
Tyagi, A., Tuknait, A., Anand, P., Gupta, S., Sharma, M., Mathur, D., Joshi, A., Singh, S., Gautam, A., & Raghava, G. P. S. (2015).
CancerPPD: a database of anticancer peptides and proteins.
Nucleic Acids Research, 43(Database issue), D837–D843.
https://doi.org/10.1093/nar/gku892
CancerPPD was developed to systematically collect and organize experimentally verified anticancer peptides and proteins reported in scientific literature, patents, and public databases. Anticancer peptides are emerging therapeutic molecules due to their cancer-selective toxicity, high specificity, low intrinsic toxicity, and ability to overcome multidrug resistance.
The database contains curated information regarding peptide sequences, physicochemical properties, structural information, biological activity, and experimentally validated anticancer assays.
CancerPPD includes:
- 3491 peptide entries
- 624 unique anticancer peptides
- 121 anticancer proteins
- 249 cancer cell lines
- 21 tissue types
- 16 experimental assay types
The database also stores:
- Peptide structures
- SMILES representations
- Chemical modifications
- Secondary structure annotations
- Sequence and structural similarity information
- Repository of experimentally validated anticancer peptides
- Information on peptide origin, activity, and modifications
- Cancer cell line and tissue-specific activity data
- Predicted tertiary structures using PEPstr and I-TASSER
- SMILES format representation of peptides
- BLAST and Smith-Waterman similarity search tools
- Sequence alignment and peptide mapping tools
- Advanced search and browse modules
Each entry in CancerPPD contains:
- Peptide sequence
- Peptide length
- Linear or cyclic configuration
- Chirality information
- N-terminal and C-terminal modifications
- Origin of peptide
- Anticancer activity data
- Tested cancer cell lines
- Experimental assay information
- Target tissue information
CancerPPD can be used for:
- Anticancer peptide discovery
- Peptide therapeutic design
- Structure-function analysis
- QSAR modeling
- Cancer drug development
- Molecular docking and simulation studies
- Computational peptide screening
- Apache HTTP Server
- MySQL
- PHP
- Perl
- HTML/CSS
- JavaScript
Integrated bioinformatics tools:
- PEPstr
- I-TASSER
- DSSP
- BLAST
- Smith-Waterman
- Open Babel
Prof. Gajendra P. S. Raghava
Bioinformatics Centre
CSIR-Institute of Microbial Technology
Chandigarh, India
Prof. Gajendra P. S. Raghava IIIT Delhi (CB) Email: raghava@iiitd.ac.in
Open Access under Creative Commons Attribution License (CC BY-NC 4.0)
Supported by:
- Council of Scientific and Industrial Research (CSIR)
- Department of Biotechnology (DBT), Government of India