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Database Commons

a catalog of worldwide biological databases

Database Profile

CancerPDF

General information

URL: http://crdd.osdd.net/raghava/cancerpdf
Full name: Cancer Peptidome Database of bioFluids
Description: CancerPDF (Cancer Peptidome Database of bioFluids) is a comprehensive database of endogenous peptides detected in the human biofluids. The peptidome patterns reflect the synthesis, processing and degradation of proteins in the tissue environment and therefore can act as a gold mine to probe the peptide-based cancer biomarkers.
Year founded: 2017
Last update:
Version:
Accessibility:
Accessible
Country/Region: India

Classification & Tag

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Contact information

University/Institution: Institute of Microbial Technology
Address: Sector 39-A, Chandigarh-160036, India
City: Chandigarh
Province/State:
Country/Region: India
Contact name (PI/Team): Gajendra P. S. Raghava
Contact email (PI/Helpdesk): raghava@iiitd.ac.in

Publications

28473704
CancerPDF: A repository of cancer-associated peptidome found in human biofluids. [PMID: 28473704]
Bhalla S, Verma R, Kaur H, Kumar R, Usmani SS, Sharma S, Raghava GPS.

CancerPDF (Cancer Peptidome Database of bioFluids) is a comprehensive database of endogenous peptides detected in the human biofluids. The peptidome patterns reflect the synthesis, processing and degradation of proteins in the tissue environment and therefore can act as a gold mine to probe the peptide-based cancer biomarkers. Although an extensive data on cancer peptidome has been generated in the recent years, lack of a comprehensive resource restrains the facility to query the growing community knowledge. We have developed the cancer peptidome resource named CancerPDF, to collect and compile all the endogenous peptides isolated from human biofluids in various cancer profiling studies. CancerPDF has 14,367 entries with 9,692 unique peptide sequences corresponding to 2,230 unique precursor proteins from 56 high-throughput studies for ~27 cancer conditions. We have provided an interactive interface to query the endogenous peptides along with the primary information such as m/z, precursor protein, the type of cancer and its regulation status in cancer. To add-on, many web-based tools have been incorporated, which comprise of search, browse and similarity identification modules. We consider that the CancerPDF will be an invaluable resource to unwind the potential of peptidome-based cancer biomarkers. The CancerPDF is available at the web address http://crdd.osdd.net/raghava/cancerpdf/ .

Sci Rep. 2017:7(1) | 27 Citations (from Europe PMC, 2026-04-04)

Ranking

All databases:
3267/6932 (52.885%)
Raw bio-data:
245/587 (58.433%)
Modification:
198/338 (41.716%)
Structure:
467/972 (52.058%)
3267
Total Rank
25
Citations
2.778
z-index

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Record metadata

Created on: 2018-01-27
Curated by:
[2018-11-29]
Aniza Aziz [2018-04-10]