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Database Commons - ADReCS

ADReCS

Citations: 3

z-index 0.93

Short name ADReCS
Full name Adverse Drug Reaction Classification System
Description Adverse Drug Reaction Classification System (ADReCS) is a comprehensive ADR ontology database that provides both standardization and hierarchical classification of ADR terms.
URL http://bioinf.xmu.edu.cn/ADReCS/
Year founded 2014
Last update & version 2015-06-01    v1.2
Availability Free to academic users only
University/Institution hosted Xiamen University
Address Xiamen, Fujian 361102, P.R. China
City Xiamen
Province/State Fujian
Country/Region China
Contact name Zhi-Liang Ji
Contact email appo@xmu.edu.cn
Data type(s)
Major organism(s)
Keyword(s)
  • ADR
Publication(s)
  • ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms. [PMID: 25361966]

    Mei-Chun Cai, Quan Xu, Yan-Jing Pan, Wen Pan, Nan Ji, Yin-Bo Li, Hai-Jing Jin, Ke Liu, Zhi-Liang Ji
    Nucleic acids research 2015:43(Database issue)
    3 Citations (Google Scholar as of 2015-12-26)

    Abstract: Adverse drug reactions (ADRs) are noxious and unexpected effects during normal drug therapy. They have caused significant clinical burden and been responsible for a large portion of new drug development failure. Molecular understanding and in silico evaluation of drug (or candidate) safety in laboratory is thus so desired, and unfortunately has been largely hindered by misuse of ADR terms. The growing impact of bioinformatics and systems biology in toxicological research also requires a specialized ADR term system that works beyond a simple glossary. Adverse Drug Reaction Classification System (ADReCS; http://bioinf.xmu.edu.cn/ADReCS) is a comprehensive ADR ontology database that provides not only ADR standardization but also hierarchical classification of ADR terms. The ADR terms were pre-assigned with unique digital IDs and at the same time were well organized into a four-level ADR hierarchy tree for building an ADR-ADR relation. Currently, the database covers 6544 standard ADR terms and 34,796 synonyms. It also incorporates information of 1355 single active ingredient drugs and 134,022 drug-ADR pairs. In summary, ADReCS offers an opportunity for direct computation on ADR terms and also provides clues to mining common features underlying ADRs. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Accessibility

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-1 Failed2018-01-19
200 OK2018-01-16
200 OK2018-01-12
200 OK2018-01-09
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200 OK2017-12-29
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200 OK2017-02-14
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200 OK2017-01-31
200 OK2017-01-27
200 OK2017-01-24
200 OK2017-01-20
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200 OK2017-01-13
200 OK2017-01-10
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200 OK2016-07-08
200 OK2016-07-05
200 OK2016-07-01
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200 OK2016-06-14
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200 OK2016-04-15
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200 OK2016-04-05
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200 OK2016-03-29
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200 OK2016-03-21
200 OK2016-03-18
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200 OK2016-03-14
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200 OK2016-03-09
200 OK2016-03-07
200 OK2016-03-04
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200 OK2016-02-29
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200 OK2016-02-15
200 OK2016-02-14
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200 OK2016-02-08
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200 OK2016-02-05
200 OK2016-02-03
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200 OK2016-01-31
200 OK2016-01-29
200 OK2016-01-27
200 OK2016-01-25
200 OK2016-01-24
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Tags

Drug and Chemical Compound Standard, Ontology and Nomenclature
Homo sapiens
ADR

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Mengwei Li [2016-04-11]
    • Mengwei Li [2016-03-31]
    • Mengwei Li [2016-03-24]
    • Mengwei Li [2015-11-22]
    • Zhang Zhang [2015-06-27]
    • Mengwei Li [2015-06-26]
Stats