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...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-04-01
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| Series: | Genomics, Proteomics & Bioinformatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1672022920300991 |
| _version_ | 1797368442686275584 |
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| author | Xiang Chen Yi Guo Xin Chen |
| author_facet | Xiang Chen Yi Guo Xin Chen |
| author_sort | Xiang Chen |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-08T17:32:32Z |
| format | Article |
| id | doaj.art-3a37e1286cab4b77a367b8b687ac0efc |
| institution | Directory Open Access Journal |
| issn | 1672-0229 |
| language | English |
| last_indexed | 2024-03-08T17:32:32Z |
| publishDate | 2020-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Genomics, Proteomics & Bioinformatics |
| spelling | doaj.art-3a37e1286cab4b77a367b8b687ac0efc2024-01-02T14:22:11ZengElsevierGenomics, Proteomics & Bioinformatics1672-02292020-04-01182150160iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and ResearchXiang Chen0Yi Guo1Xin Chen2Institute of Pharmaceutical Biotechnology and the First Affiliated Hospital Department of Radiation Oncology, Zhejiang University School of Medicine, Hangzhou 310058, China; Corresponding authors.Department of Polymer Science and Engineering and Key Laboratory of Adsorption and Separation Materials and Technologies of Zhejiang Province, Zhejiang University, Hangzhou 310027, ChinaInstitute of Pharmaceutical Biotechnology and the First Affiliated Hospital Department of Radiation Oncology, Zhejiang University School of Medicine, Hangzhou 310058, China; Joint Institute for Genetics and Genome Medicine between Zhejiang University and University of Toronto, Zhejiang University, Hangzhou 310058, China; Corresponding authors.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.http://www.sciencedirect.com/science/article/pii/S1672022920300991Genetic modelPharmacogeneticsAnticancer drugCancerDrug response |
| spellingShingle | Xiang Chen Yi Guo Xin Chen iGMDR: Integrated Pharmacogenetic Resource Guide to Cancer Therapy and Research Genomics, Proteomics & Bioinformatics Genetic model Pharmacogenetics Anticancer drug Cancer Drug response |
| 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 | Genetic model Pharmacogenetics Anticancer drug Cancer Drug response |
| url | http://www.sciencedirect.com/science/article/pii/S1672022920300991 |
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