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DTome: a web-based tool for drug-target interactome construction

BACKGROUND: Understanding drug bioactivities is crucial for early-stage drug discovery, toxicology studies and clinical trials. Network pharmacology is a promising approach to better understand the molecular mechanisms of drug bioactivities. With a dramatic increase of rich data sources that documen...

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Autores principales: Sun, Jingchun, Wu, Yonghui, Xu, Hua, Zhao, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372450/
https://www.ncbi.nlm.nih.gov/pubmed/22901092
http://dx.doi.org/10.1186/1471-2105-13-S9-S7
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author Sun, Jingchun
Wu, Yonghui
Xu, Hua
Zhao, Zhongming
author_facet Sun, Jingchun
Wu, Yonghui
Xu, Hua
Zhao, Zhongming
author_sort Sun, Jingchun
collection PubMed
description BACKGROUND: Understanding drug bioactivities is crucial for early-stage drug discovery, toxicology studies and clinical trials. Network pharmacology is a promising approach to better understand the molecular mechanisms of drug bioactivities. With a dramatic increase of rich data sources that document drugs' structural, chemical, and biological activities, it is necessary to develop an automated tool to construct a drug-target network for candidate drugs, thus facilitating the drug discovery process. RESULTS: We designed a computational workflow to construct drug-target networks from different knowledge bases including DrugBank, PharmGKB, and the PINA database. To automatically implement the workflow, we created a web-based tool called DTome (Drug-Target interactome tool), which is comprised of a database schema and a user-friendly web interface. The DTome tool utilizes web-based queries to search candidate drugs and then construct a DTome network by extracting and integrating four types of interactions. The four types are adverse drug interactions, drug-target interactions, drug-gene associations, and target-/gene-protein interactions. Additionally, we provided a detailed network analysis and visualization process to illustrate how to analyze and interpret the DTome network. The DTome tool is publicly available at http://bioinfo.mc.vanderbilt.edu/DTome. CONCLUSIONS: As demonstrated with the antipsychotic drug clozapine, the DTome tool was effective and promising for the investigation of relationships among drugs, adverse interaction drugs, drug primary targets, drug-associated genes, and proteins directly interacting with targets or genes. The resultant DTome network provides researchers with direct insights into their interest drug(s), such as the molecular mechanisms of drug actions. We believe such a tool can facilitate identification of drug targets and drug adverse interactions.
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spelling pubmed-33724502012-06-12 DTome: a web-based tool for drug-target interactome construction Sun, Jingchun Wu, Yonghui Xu, Hua Zhao, Zhongming BMC Bioinformatics Proceedings BACKGROUND: Understanding drug bioactivities is crucial for early-stage drug discovery, toxicology studies and clinical trials. Network pharmacology is a promising approach to better understand the molecular mechanisms of drug bioactivities. With a dramatic increase of rich data sources that document drugs' structural, chemical, and biological activities, it is necessary to develop an automated tool to construct a drug-target network for candidate drugs, thus facilitating the drug discovery process. RESULTS: We designed a computational workflow to construct drug-target networks from different knowledge bases including DrugBank, PharmGKB, and the PINA database. To automatically implement the workflow, we created a web-based tool called DTome (Drug-Target interactome tool), which is comprised of a database schema and a user-friendly web interface. The DTome tool utilizes web-based queries to search candidate drugs and then construct a DTome network by extracting and integrating four types of interactions. The four types are adverse drug interactions, drug-target interactions, drug-gene associations, and target-/gene-protein interactions. Additionally, we provided a detailed network analysis and visualization process to illustrate how to analyze and interpret the DTome network. The DTome tool is publicly available at http://bioinfo.mc.vanderbilt.edu/DTome. CONCLUSIONS: As demonstrated with the antipsychotic drug clozapine, the DTome tool was effective and promising for the investigation of relationships among drugs, adverse interaction drugs, drug primary targets, drug-associated genes, and proteins directly interacting with targets or genes. The resultant DTome network provides researchers with direct insights into their interest drug(s), such as the molecular mechanisms of drug actions. We believe such a tool can facilitate identification of drug targets and drug adverse interactions. BioMed Central 2012-06-11 /pmc/articles/PMC3372450/ /pubmed/22901092 http://dx.doi.org/10.1186/1471-2105-13-S9-S7 Text en Copyright ©2012 Sun et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Sun, Jingchun
Wu, Yonghui
Xu, Hua
Zhao, Zhongming
DTome: a web-based tool for drug-target interactome construction
title DTome: a web-based tool for drug-target interactome construction
title_full DTome: a web-based tool for drug-target interactome construction
title_fullStr DTome: a web-based tool for drug-target interactome construction
title_full_unstemmed DTome: a web-based tool for drug-target interactome construction
title_short DTome: a web-based tool for drug-target interactome construction
title_sort dtome: a web-based tool for drug-target interactome construction
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372450/
https://www.ncbi.nlm.nih.gov/pubmed/22901092
http://dx.doi.org/10.1186/1471-2105-13-S9-S7
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