The SIDER database of drugs and side effects

被引:897
作者
Kuhn, Michael [1 ]
Letunic, Ivica [2 ]
Jensen, Lars Juhl [3 ]
Bork, Peer [4 ,5 ]
机构
[1] Max Planck Inst Mol Cell Biol & Genet, Pfotenhauerstr 108, D-01307 Dresden, Germany
[2] Biobyte Solut GmbH, Bothestr 142, D-69117 Heidelberg, Germany
[3] Univ Copenhagen, Fac Hlth & Med Sci, Novo Nordisk Fdn Ctr Prot Res, DK-2200 Copenhagen N, Denmark
[4] European Mol Biol Lab, Struct & Computat Biol Unit, Mol Med Partnership Unit, Meyerhofstr 1, D-69117 Heidelberg, Germany
[5] Max Delbruck Ctr Mol Med, Robert Rossle Str 10, D-13092 Berlin, Germany
关键词
IDENTIFICATION; PROTEINS;
D O I
10.1093/nar/gkv1075
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Unwanted side effects of drugs are a burden on patients and a severe impediment in the development of new drugs. At the same time, adverse drug reactions (ADRs) recorded during clinical trials are an important source of human phenotypic data. It is therefore essential to combine data on drugs, targets and side effects into a more complete picture of the therapeutic mechanism of actions of drugs and the ways in which they cause adverse reactions. To this end, we have created the SIDER ('Side Effect Resource', http://sideeffects.embl.de) database of drugs and ADRs. The current release, SIDER 4, contains data on 1430 drugs, 5880 ADRs and 140 064 drug-ADR pairs, which is an increase of 40% compared to the previous version. For more fine-grained analyses, we extracted the frequency with which side effects occur from the package inserts. This information is available for 39% of drug-ADR pairs, 19% of which can be compared to the frequency under placebo treatment. SIDER furthermore contains a data set of drug indications, extracted from the package inserts using Natural Language Processing. These drug indications are used to reduce the rate of false positives by identifying medical terms that do not correspond to ADRs.
引用
收藏
页码:D1075 / D1079
页数:5
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