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DRESIS: the first comprehensive landscape of drug resistance information
Widespread drug resistance has become the key issue in global healthcare. Extensive efforts have been made to reveal not only diverse diseases experiencing drug resistance, but also the six distinct types of molecular mechanisms underlying this resistance. A database that describes a comprehensive l...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825618/ https://www.ncbi.nlm.nih.gov/pubmed/36243960 http://dx.doi.org/10.1093/nar/gkac812 |
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author | Sun, Xiuna Zhang, Yintao Li, Hanyang Zhou, Ying Shi, Shuiyang Chen, Zhen He, Xin Zhang, Hanyu Li, Fengcheng Yin, Jiayi Mou, Minjie Wang, Yunzhu Qiu, Yunqing Zhu, Feng |
author_facet | Sun, Xiuna Zhang, Yintao Li, Hanyang Zhou, Ying Shi, Shuiyang Chen, Zhen He, Xin Zhang, Hanyu Li, Fengcheng Yin, Jiayi Mou, Minjie Wang, Yunzhu Qiu, Yunqing Zhu, Feng |
author_sort | Sun, Xiuna |
collection | PubMed |
description | Widespread drug resistance has become the key issue in global healthcare. Extensive efforts have been made to reveal not only diverse diseases experiencing drug resistance, but also the six distinct types of molecular mechanisms underlying this resistance. A database that describes a comprehensive list of diseases with drug resistance (not just cancers/infections) and all types of resistance mechanisms is now urgently needed. However, no such database has been available to date. In this study, a comprehensive database describing drug resistance information named ‘DRESIS’ was therefore developed. It was introduced to (i) systematically provide, for the first time, all existing types of molecular mechanisms underlying drug resistance, (ii) extensively cover the widest range of diseases among all existing databases and (iii) explicitly describe the clinically/experimentally verified resistance data for the largest number of drugs. Since drug resistance has become an ever-increasing clinical issue, DRESIS is expected to have great implications for future new drug discovery and clinical treatment optimization. It is now publicly accessible without any login requirement at: https://idrblab.org/dresis/ |
format | Online Article Text |
id | pubmed-9825618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98256182023-01-10 DRESIS: the first comprehensive landscape of drug resistance information Sun, Xiuna Zhang, Yintao Li, Hanyang Zhou, Ying Shi, Shuiyang Chen, Zhen He, Xin Zhang, Hanyu Li, Fengcheng Yin, Jiayi Mou, Minjie Wang, Yunzhu Qiu, Yunqing Zhu, Feng Nucleic Acids Res Database Issue Widespread drug resistance has become the key issue in global healthcare. Extensive efforts have been made to reveal not only diverse diseases experiencing drug resistance, but also the six distinct types of molecular mechanisms underlying this resistance. A database that describes a comprehensive list of diseases with drug resistance (not just cancers/infections) and all types of resistance mechanisms is now urgently needed. However, no such database has been available to date. In this study, a comprehensive database describing drug resistance information named ‘DRESIS’ was therefore developed. It was introduced to (i) systematically provide, for the first time, all existing types of molecular mechanisms underlying drug resistance, (ii) extensively cover the widest range of diseases among all existing databases and (iii) explicitly describe the clinically/experimentally verified resistance data for the largest number of drugs. Since drug resistance has become an ever-increasing clinical issue, DRESIS is expected to have great implications for future new drug discovery and clinical treatment optimization. It is now publicly accessible without any login requirement at: https://idrblab.org/dresis/ Oxford University Press 2022-10-16 /pmc/articles/PMC9825618/ /pubmed/36243960 http://dx.doi.org/10.1093/nar/gkac812 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Sun, Xiuna Zhang, Yintao Li, Hanyang Zhou, Ying Shi, Shuiyang Chen, Zhen He, Xin Zhang, Hanyu Li, Fengcheng Yin, Jiayi Mou, Minjie Wang, Yunzhu Qiu, Yunqing Zhu, Feng DRESIS: the first comprehensive landscape of drug resistance information |
title | DRESIS: the first comprehensive landscape of drug resistance information |
title_full | DRESIS: the first comprehensive landscape of drug resistance information |
title_fullStr | DRESIS: the first comprehensive landscape of drug resistance information |
title_full_unstemmed | DRESIS: the first comprehensive landscape of drug resistance information |
title_short | DRESIS: the first comprehensive landscape of drug resistance information |
title_sort | dresis: the first comprehensive landscape of drug resistance information |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825618/ https://www.ncbi.nlm.nih.gov/pubmed/36243960 http://dx.doi.org/10.1093/nar/gkac812 |
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