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Bioinformatics. 2015 Feb 15;31(4):612-3. doi: 10.1093/bioinformatics/btu688. Epub 2014 Oct 17.

IntSide: a web server for the chemical and biological examination of drug side effects.

Author information

1
Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona) and Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
2
Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona) and Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona) and Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.

Abstract

SUMMARY:

Drug side effects are one of the main health threats worldwide, and an important obstacle in drug development. Understanding how adverse reactions occur requires knowledge on drug mechanisms at the molecular level. Despite recent advances, the need for tools and methods that facilitate side effect anticipation still remains. Here, we present IntSide, a web server that integrates chemical and biological information to elucidate the molecular mechanisms underlying drug side effects. IntSide currently catalogs 1175 side effects caused by 996 drugs, associated with drug features divided into eight categories, belonging to either biology or chemistry. On the biological side, IntSide reports drug targets and off-targets, pathways, molecular functions and biological processes. From a chemical viewpoint, it includes molecular fingerprints, scaffolds and chemical entities. Finally, we also integrate additional biological data, such as protein interactions and disease-related genes, to facilitate mechanistic interpretations.

AVAILABILITY AND IMPLEMENTATION:

Our data and web resource are available online (http://intside.irbbarcelona.org/).

CONTACT:

patrick.aloy@irbbarcelona.org

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
25380960
DOI:
10.1093/bioinformatics/btu688
[Indexed for MEDLINE]

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