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Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach

Prostate cancer is a type of cancer that occurs in the male prostate, a gland in the male reproductive system. Because prostate cancer cells may spread to other parts of the body and can influence human reproduction, understanding the mechanisms underlying this disease is critical for designing effe...

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Detalles Bibliográficos
Autores principales: Yuan, Fei, Zhou, You, Wang, Meng, Yang, Jing, Wu, Kai, Lu, Changhong, Kong, Xiangyin, Cai, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609422/
https://www.ncbi.nlm.nih.gov/pubmed/26504486
http://dx.doi.org/10.1155/2015/462363
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author Yuan, Fei
Zhou, You
Wang, Meng
Yang, Jing
Wu, Kai
Lu, Changhong
Kong, Xiangyin
Cai, Yu-Dong
author_facet Yuan, Fei
Zhou, You
Wang, Meng
Yang, Jing
Wu, Kai
Lu, Changhong
Kong, Xiangyin
Cai, Yu-Dong
author_sort Yuan, Fei
collection PubMed
description Prostate cancer is a type of cancer that occurs in the male prostate, a gland in the male reproductive system. Because prostate cancer cells may spread to other parts of the body and can influence human reproduction, understanding the mechanisms underlying this disease is critical for designing effective treatments. The identification of as many genes and chemicals related to prostate cancer as possible will enhance our understanding of this disease. In this study, we proposed a computational method to identify new candidate genes and chemicals based on currently known genes and chemicals related to prostate cancer by applying a shortest path approach in a hybrid network. The hybrid network was constructed according to information concerning chemical-chemical interactions, chemical-protein interactions, and protein-protein interactions. Many of the obtained genes and chemicals are associated with prostate cancer.
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spelling pubmed-46094222015-10-26 Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach Yuan, Fei Zhou, You Wang, Meng Yang, Jing Wu, Kai Lu, Changhong Kong, Xiangyin Cai, Yu-Dong Comput Math Methods Med Research Article Prostate cancer is a type of cancer that occurs in the male prostate, a gland in the male reproductive system. Because prostate cancer cells may spread to other parts of the body and can influence human reproduction, understanding the mechanisms underlying this disease is critical for designing effective treatments. The identification of as many genes and chemicals related to prostate cancer as possible will enhance our understanding of this disease. In this study, we proposed a computational method to identify new candidate genes and chemicals based on currently known genes and chemicals related to prostate cancer by applying a shortest path approach in a hybrid network. The hybrid network was constructed according to information concerning chemical-chemical interactions, chemical-protein interactions, and protein-protein interactions. Many of the obtained genes and chemicals are associated with prostate cancer. Hindawi Publishing Corporation 2015 2015-10-04 /pmc/articles/PMC4609422/ /pubmed/26504486 http://dx.doi.org/10.1155/2015/462363 Text en Copyright © 2015 Fei Yuan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yuan, Fei
Zhou, You
Wang, Meng
Yang, Jing
Wu, Kai
Lu, Changhong
Kong, Xiangyin
Cai, Yu-Dong
Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach
title Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach
title_full Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach
title_fullStr Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach
title_full_unstemmed Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach
title_short Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach
title_sort identifying new candidate genes and chemicals related to prostate cancer using a hybrid network and shortest path approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609422/
https://www.ncbi.nlm.nih.gov/pubmed/26504486
http://dx.doi.org/10.1155/2015/462363
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