STITCH: interaction networks of chemicals and proteins

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STITCH : interaction networks of chemicals and proteins. / Kuhn, Michael; von Mering, Christian; Campillos, Monica; Jensen, Lars Juhl; Bork, Peer.

In: Nucleic Acids Research, Vol. 36, No. Database issue, 2008, p. D684-8.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Kuhn, M, von Mering, C, Campillos, M, Jensen, LJ & Bork, P 2008, 'STITCH: interaction networks of chemicals and proteins', Nucleic Acids Research, vol. 36, no. Database issue, pp. D684-8. https://doi.org/10.1093/nar/gkm795

APA

Kuhn, M., von Mering, C., Campillos, M., Jensen, L. J., & Bork, P. (2008). STITCH: interaction networks of chemicals and proteins. Nucleic Acids Research, 36(Database issue), D684-8. https://doi.org/10.1093/nar/gkm795

Vancouver

Kuhn M, von Mering C, Campillos M, Jensen LJ, Bork P. STITCH: interaction networks of chemicals and proteins. Nucleic Acids Research. 2008;36(Database issue):D684-8. https://doi.org/10.1093/nar/gkm795

Author

Kuhn, Michael ; von Mering, Christian ; Campillos, Monica ; Jensen, Lars Juhl ; Bork, Peer. / STITCH : interaction networks of chemicals and proteins. In: Nucleic Acids Research. 2008 ; Vol. 36, No. Database issue. pp. D684-8.

Bibtex

@article{edcd3d54e9e4420c927ef28ae8b9aa8e,
title = "STITCH: interaction networks of chemicals and proteins",
abstract = "The knowledge about interactions between proteins and small molecules is essential for the understanding of molecular and cellular functions. However, information on such interactions is widely dispersed across numerous databases and the literature. To facilitate access to this data, STITCH ('search tool for interactions of chemicals') integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins. Each proposed interaction can be traced back to the original data sources. Our database contains interaction information for over 68,000 different chemicals, including 2200 drugs, and connects them to 1.5 million genes across 373 genomes and their interactions contained in the STRING database. STITCH is available at http://stitch.embl.de/.",
author = "Michael Kuhn and {von Mering}, Christian and Monica Campillos and Jensen, {Lars Juhl} and Peer Bork",
year = "2008",
doi = "10.1093/nar/gkm795",
language = "English",
volume = "36",
pages = "D684--8",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "Database issue",

}

RIS

TY - JOUR

T1 - STITCH

T2 - interaction networks of chemicals and proteins

AU - Kuhn, Michael

AU - von Mering, Christian

AU - Campillos, Monica

AU - Jensen, Lars Juhl

AU - Bork, Peer

PY - 2008

Y1 - 2008

N2 - The knowledge about interactions between proteins and small molecules is essential for the understanding of molecular and cellular functions. However, information on such interactions is widely dispersed across numerous databases and the literature. To facilitate access to this data, STITCH ('search tool for interactions of chemicals') integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins. Each proposed interaction can be traced back to the original data sources. Our database contains interaction information for over 68,000 different chemicals, including 2200 drugs, and connects them to 1.5 million genes across 373 genomes and their interactions contained in the STRING database. STITCH is available at http://stitch.embl.de/.

AB - The knowledge about interactions between proteins and small molecules is essential for the understanding of molecular and cellular functions. However, information on such interactions is widely dispersed across numerous databases and the literature. To facilitate access to this data, STITCH ('search tool for interactions of chemicals') integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins. Each proposed interaction can be traced back to the original data sources. Our database contains interaction information for over 68,000 different chemicals, including 2200 drugs, and connects them to 1.5 million genes across 373 genomes and their interactions contained in the STRING database. STITCH is available at http://stitch.embl.de/.

U2 - 10.1093/nar/gkm795

DO - 10.1093/nar/gkm795

M3 - Journal article

C2 - 18084021

VL - 36

SP - D684-8

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - Database issue

ER -

ID: 40740125