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Identification of Chemical Toxicity Using Ontology Information of Chemicals

With the advance of the combinatorial chemistry, a large number of synthetic compounds have surged. However, we have limited knowledge about them. On the other hand, the speed of designing new drugs is very slow. One of the key causes is the unacceptable toxicities of chemicals. If one can correctly...

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Detalles Bibliográficos
Autores principales: Jiang, Zhanpeng, Xu, Rui, Dong, Changchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609800/
https://www.ncbi.nlm.nih.gov/pubmed/26508991
http://dx.doi.org/10.1155/2015/246374
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author Jiang, Zhanpeng
Xu, Rui
Dong, Changchun
author_facet Jiang, Zhanpeng
Xu, Rui
Dong, Changchun
author_sort Jiang, Zhanpeng
collection PubMed
description With the advance of the combinatorial chemistry, a large number of synthetic compounds have surged. However, we have limited knowledge about them. On the other hand, the speed of designing new drugs is very slow. One of the key causes is the unacceptable toxicities of chemicals. If one can correctly identify the toxicity of chemicals, the unsuitable chemicals can be discarded in early stage, thereby accelerating the study of new drugs and reducing the R&D costs. In this study, a new prediction method was built for identification of chemical toxicities, which was based on ontology information of chemicals. By comparing to a previous method, our method is quite effective. We hope that the proposed method may give new insights to study chemical toxicity and other attributes of chemicals.
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spelling pubmed-46098002015-10-27 Identification of Chemical Toxicity Using Ontology Information of Chemicals Jiang, Zhanpeng Xu, Rui Dong, Changchun Comput Math Methods Med Research Article With the advance of the combinatorial chemistry, a large number of synthetic compounds have surged. However, we have limited knowledge about them. On the other hand, the speed of designing new drugs is very slow. One of the key causes is the unacceptable toxicities of chemicals. If one can correctly identify the toxicity of chemicals, the unsuitable chemicals can be discarded in early stage, thereby accelerating the study of new drugs and reducing the R&D costs. In this study, a new prediction method was built for identification of chemical toxicities, which was based on ontology information of chemicals. By comparing to a previous method, our method is quite effective. We hope that the proposed method may give new insights to study chemical toxicity and other attributes of chemicals. Hindawi Publishing Corporation 2015 2015-10-05 /pmc/articles/PMC4609800/ /pubmed/26508991 http://dx.doi.org/10.1155/2015/246374 Text en Copyright © 2015 Zhanpeng Jiang 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
Jiang, Zhanpeng
Xu, Rui
Dong, Changchun
Identification of Chemical Toxicity Using Ontology Information of Chemicals
title Identification of Chemical Toxicity Using Ontology Information of Chemicals
title_full Identification of Chemical Toxicity Using Ontology Information of Chemicals
title_fullStr Identification of Chemical Toxicity Using Ontology Information of Chemicals
title_full_unstemmed Identification of Chemical Toxicity Using Ontology Information of Chemicals
title_short Identification of Chemical Toxicity Using Ontology Information of Chemicals
title_sort identification of chemical toxicity using ontology information of chemicals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609800/
https://www.ncbi.nlm.nih.gov/pubmed/26508991
http://dx.doi.org/10.1155/2015/246374
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