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...

Full description

Saved in:
Bibliographic Details
Published in:Nucleic acids research 2023-01, Vol.51 (D1), p.D1263-D1275
Main Authors: 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
Format: Article
Language:English
Subjects:
Database Issue
Databases, Factual
Drug Discovery
Drug Resistance
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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/.
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkac812