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iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research
Current pharmacogenetic studies have obtained many genetic models that can predict the therapeutic efficacy of anticancer drugs. Although some of these models are of crucial importance and have been used in clinical practice, these very valuable models have not been well adopted into cancer research...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646137/ https://www.ncbi.nlm.nih.gov/pubmed/32916316 http://dx.doi.org/10.1016/j.gpb.2019.11.011 |
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author | Chen, Xiang Guo, Yi Chen, Xin |
author_facet | Chen, Xiang Guo, Yi Chen, Xin |
author_sort | Chen, Xiang |
collection | PubMed |
description | Current pharmacogenetic studies have obtained many genetic models that can predict the therapeutic efficacy of anticancer drugs. Although some of these models are of crucial importance and have been used in clinical practice, these very valuable models have not been well adopted into cancer research to promote the development of cancer therapies due to the lack of integration and standards for the existing data of the pharmacogenetic studies. For this purpose, we built a resource investigating genetic model of drug response (iGMDR), which integrates the models from in vitro and in vivo pharmacogenetic studies with different omics data from a variety of technical systems. In this study, we introduced a standardized process for all integrations, and described how users can utilize these models to gain insights into cancer. iGMDR is freely accessible at https://igmdr.modellab.cn. |
format | Online Article Text |
id | pubmed-7646137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76461372020-11-13 iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research Chen, Xiang Guo, Yi Chen, Xin Genomics Proteomics Bioinformatics Database Current pharmacogenetic studies have obtained many genetic models that can predict the therapeutic efficacy of anticancer drugs. Although some of these models are of crucial importance and have been used in clinical practice, these very valuable models have not been well adopted into cancer research to promote the development of cancer therapies due to the lack of integration and standards for the existing data of the pharmacogenetic studies. For this purpose, we built a resource investigating genetic model of drug response (iGMDR), which integrates the models from in vitro and in vivo pharmacogenetic studies with different omics data from a variety of technical systems. In this study, we introduced a standardized process for all integrations, and described how users can utilize these models to gain insights into cancer. iGMDR is freely accessible at https://igmdr.modellab.cn. Elsevier 2020-04 2020-09-08 /pmc/articles/PMC7646137/ /pubmed/32916316 http://dx.doi.org/10.1016/j.gpb.2019.11.011 Text en © 2020 The Authors. Published by Elsevier B.V. and Science Press on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Database Chen, Xiang Guo, Yi Chen, Xin iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research |
title | iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research |
title_full | iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research |
title_fullStr | iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research |
title_full_unstemmed | iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research |
title_short | iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research |
title_sort | igmdr: integrated pharmacogenetic resource guide to cancer therapy and research |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646137/ https://www.ncbi.nlm.nih.gov/pubmed/32916316 http://dx.doi.org/10.1016/j.gpb.2019.11.011 |
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