Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.

Hepatitis C virus (HCV) is an infectious virus that can cause serious illnesses. Only a few drugs have been reported to effectively treat hepatitis C. To have greater diversity in drug choice and better treatment options, it is necessary to develop more drugs to treat the infection. However, it is t...

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Autores principales:	Lei Chen, Jing Lu, Tao Huang, Jun Yin, Lai Wei, Yu-Dong Cai
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/32c50d568d85413cb950b40529441bf3
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spelling	oai:doaj.org-article:32c50d568d85413cb950b40529441bf32021-11-25T06:00:32ZFinding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.1932-620310.1371/journal.pone.0107767https://doaj.org/article/32c50d568d85413cb950b40529441bf32014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0107767https://doaj.org/toc/1932-6203Hepatitis C virus (HCV) is an infectious virus that can cause serious illnesses. Only a few drugs have been reported to effectively treat hepatitis C. To have greater diversity in drug choice and better treatment options, it is necessary to develop more drugs to treat the infection. However, it is time-consuming and expensive to discover candidate drugs using experimental methods, and computational methods may complement experimental approaches as a preliminary filtering process. This type of approach was proposed by using known chemical-chemical interactions to extract interactive compounds with three known drug compounds of HCV, and the probabilities of these drug compounds being able to treat hepatitis C were calculated using chemical-protein interactions between the interactive compounds and HCV target genes. Moreover, the randomization test and expectation-maximization (EM) algorithm were both employed to exclude false discoveries. Analysis of the selected compounds, including acyclovir and ganciclovir, indicated that some of these compounds had potential to treat the HCV. Hopefully, this proposed method could provide new insights into the discovery of candidate drugs for the treatment of HCV and other diseases.Lei ChenJing LuTao HuangJun YinLai WeiYu-Dong CaiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 9, p e107767 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lei Chen Jing Lu Tao Huang Jun Yin Lai Wei Yu-Dong Cai Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
description	Hepatitis C virus (HCV) is an infectious virus that can cause serious illnesses. Only a few drugs have been reported to effectively treat hepatitis C. To have greater diversity in drug choice and better treatment options, it is necessary to develop more drugs to treat the infection. However, it is time-consuming and expensive to discover candidate drugs using experimental methods, and computational methods may complement experimental approaches as a preliminary filtering process. This type of approach was proposed by using known chemical-chemical interactions to extract interactive compounds with three known drug compounds of HCV, and the probabilities of these drug compounds being able to treat hepatitis C were calculated using chemical-protein interactions between the interactive compounds and HCV target genes. Moreover, the randomization test and expectation-maximization (EM) algorithm were both employed to exclude false discoveries. Analysis of the selected compounds, including acyclovir and ganciclovir, indicated that some of these compounds had potential to treat the HCV. Hopefully, this proposed method could provide new insights into the discovery of candidate drugs for the treatment of HCV and other diseases.
format	article
author	Lei Chen Jing Lu Tao Huang Jun Yin Lai Wei Yu-Dong Cai
author_facet	Lei Chen Jing Lu Tao Huang Jun Yin Lai Wei Yu-Dong Cai
author_sort	Lei Chen
title	Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
title_short	Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
title_full	Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
title_fullStr	Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
title_full_unstemmed	Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.
title_sort	finding candidate drugs for hepatitis c based on chemical-chemical and chemical-protein interactions.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/32c50d568d85413cb950b40529441bf3
work_keys_str_mv	AT leichen findingcandidatedrugsforhepatitiscbasedonchemicalchemicalandchemicalproteininteractions AT jinglu findingcandidatedrugsforhepatitiscbasedonchemicalchemicalandchemicalproteininteractions AT taohuang findingcandidatedrugsforhepatitiscbasedonchemicalchemicalandchemicalproteininteractions AT junyin findingcandidatedrugsforhepatitiscbasedonchemicalchemicalandchemicalproteininteractions AT laiwei findingcandidatedrugsforhepatitiscbasedonchemicalchemicalandchemicalproteininteractions AT yudongcai findingcandidatedrugsforhepatitiscbasedonchemicalchemicalandchemicalproteininteractions
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Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.

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