Open AccessDDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety
Author(s) -
GuoLi Xiong,
Zhiyuan Yang,
Jiacai Yi,
Ningning Wang,
Lei Wang,
Huimin Zhu,
Chengkun Wu,
Aiping Lü,
Xiang Chen,
Lei Shao,
Tingjun Hou,
DongSheng Cao
Publication year - 2021
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkab880
Subject(s) - drug , drug drug interaction , informatics , function (biology) , mechanism (biology) , health informatics , computer science , clinical decision support system , drug interaction , medical prescription , decision support system , public health , medicine , pharmacology , data mining , biology , philosophy , electrical engineering , nursing , epistemology , evolutionary biology , engineering
Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged as a threat to medicine and public health. Despite the continuous information accumulation of clinically significant DDIs, there are few open-access knowledge systems dedicated to the curation of DDI associations. To facilitate the clinicians to screen for dangerous drug combinations and improve health systems, we present DDInter, a curated DDI database with comprehensive data, practical medication guidance, intuitive function interface, and powerful visualization to the scientific community. Currently, DDInter contains about 0.24M DDI associations connecting 1833 approved drugs (1972 entities). Each drug is annotated with basic chemical and pharmacological information and its interaction network. For DDI associations, abundant and professional annotations are provided, including severity, mechanism description, strategies for managing potential side effects, alternative medications, etc. The drug entities and interaction entities are efficiently cross-linked. In addition to basic query and browsing, the prescription checking function is developed to facilitate clinicians to decide whether drugs combinations can be used safely. It can also be used for informatics-based DDI investigation and evaluation of other prediction frameworks. We hope that DDInter will prove useful in improving clinical decision-making and patient safety. DDInter is freely available, without registration, at http://ddinter.scbdd.com/.