TY - JOUR
T1 - ADReCS-Target
T2 - Target profiles for aiding drug safety research and application
AU - Huang, Li Hong
AU - He, Qiu Shun
AU - Liu, Ke
AU - Cheng, Jiao
AU - Zhong, Min Dong
AU - Chen, Lin Shan
AU - Yao, Li Xia
AU - Ji, Zhi Liang
N1 - Funding Information:
Natural Science Foundation of China [NSFC#30873159, NSFC#31671362]; XMU-Xiamen Xianyue Hospital collaboration [#XDHT2016013C]. Funding for open access charge: Natural Science Foundation of China. Conflict of interest statement. None declared.
Publisher Copyright:
© 2017 The Author(s).
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Delivering safe and effective therapeutic treatment to patients is one of the grand challenges in modern medicine. However, drug safety research has been progressing slowly in recent years, compared to other fields such as biotechnologies and precision medicine, due to the mechanistic complexity of adverse drug reactions (ADRs). To fill up this gap, we develop a new database, the Adverse Drug Reaction Classification System-Target Profile (ADReCS-Target, http://bioinf.xmu.edu.cn/ADReCSTarget), which provides comprehensive information about ADRs caused by drug interaction with protein, gene and genetic variation. In total, ADReCSTarget includes 66,573 pairwise relations, among which 1710 are protein-ADR associations, 2613 are genetic variation-ADR associations, and 63,298 are gene-ADR associations. In a case study of exploring the mechanism of rash, we find that HLAs, C1QA and APOA1 are the key gene players and thus can be potential targets (or biomarkers) in monitoring or countermining rashes. In summary, ADReCS-Target can be a useful resource for the biomedical scientific community by serving researchers in the fields of drug development, clinical pharmacology, precision medicine, and from web lab to high-throughput computational platform. Particularly, it helps to identify drug with better ADR profile and design safer drug therapy regimen.
AB - Delivering safe and effective therapeutic treatment to patients is one of the grand challenges in modern medicine. However, drug safety research has been progressing slowly in recent years, compared to other fields such as biotechnologies and precision medicine, due to the mechanistic complexity of adverse drug reactions (ADRs). To fill up this gap, we develop a new database, the Adverse Drug Reaction Classification System-Target Profile (ADReCS-Target, http://bioinf.xmu.edu.cn/ADReCSTarget), which provides comprehensive information about ADRs caused by drug interaction with protein, gene and genetic variation. In total, ADReCSTarget includes 66,573 pairwise relations, among which 1710 are protein-ADR associations, 2613 are genetic variation-ADR associations, and 63,298 are gene-ADR associations. In a case study of exploring the mechanism of rash, we find that HLAs, C1QA and APOA1 are the key gene players and thus can be potential targets (or biomarkers) in monitoring or countermining rashes. In summary, ADReCS-Target can be a useful resource for the biomedical scientific community by serving researchers in the fields of drug development, clinical pharmacology, precision medicine, and from web lab to high-throughput computational platform. Particularly, it helps to identify drug with better ADR profile and design safer drug therapy regimen.
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U2 - 10.1093/nar/gkx899
DO - 10.1093/nar/gkx899
M3 - Article
C2 - 30053268
AN - SCOPUS:85040905988
SN - 0305-1048
VL - 46
SP - D911-D917
JO - Nucleic acids research
JF - Nucleic acids research
IS - D1
ER -