CancerPDF: A repository of cancer-associated peptidome found in human biofluids

Abstract 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...

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Autores principales:	Sherry Bhalla, Ruchi Verma, Harpreet Kaur, Rajesh Kumar, Salman Sadullah Usmani, Suresh Sharma, Gajendra P. S. Raghava
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c817a05d98a44c78bc346c699d8fb09e
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spelling	oai:doaj.org-article:c817a05d98a44c78bc346c699d8fb09e2021-12-02T16:06:59ZCancerPDF: A repository of cancer-associated peptidome found in human biofluids10.1038/s41598-017-01633-32045-2322https://doaj.org/article/c817a05d98a44c78bc346c699d8fb09e2017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01633-3https://doaj.org/toc/2045-2322Abstract 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/ .Sherry BhallaRuchi VermaHarpreet KaurRajesh KumarSalman Sadullah UsmaniSuresh SharmaGajendra P. S. RaghavaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sherry Bhalla Ruchi Verma Harpreet Kaur Rajesh Kumar Salman Sadullah Usmani Suresh Sharma Gajendra P. S. Raghava CancerPDF: A repository of cancer-associated peptidome found in human biofluids
description	Abstract 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/ .
format	article
author	Sherry Bhalla Ruchi Verma Harpreet Kaur Rajesh Kumar Salman Sadullah Usmani Suresh Sharma Gajendra P. S. Raghava
author_facet	Sherry Bhalla Ruchi Verma Harpreet Kaur Rajesh Kumar Salman Sadullah Usmani Suresh Sharma Gajendra P. S. Raghava
author_sort	Sherry Bhalla
title	CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_short	CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_full	CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_fullStr	CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_full_unstemmed	CancerPDF: A repository of cancer-associated peptidome found in human biofluids
title_sort	cancerpdf: a repository of cancer-associated peptidome found in human biofluids
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/c817a05d98a44c78bc346c699d8fb09e
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CancerPDF: A repository of cancer-associated peptidome found in human biofluids

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