Computational systems biology is empowering the study of drug action. Studies on biological effects of chemical compounds have increased in scale and accessibility, allowing integration with other large-scale experimental data types. Here, we review computational approaches for elucidating the mechanisms of both intended and undesirable effects of drugs, with the collective potential to change the nature of drug discovery and pharmacological therapy.
%0 Journal Article
%1 Chua2011Discovering
%A Chua, Hon N.
%A Roth, Frederick P.
%D 2011
%I American Society for Biochemistry and Molecular Biology
%J Journal of Biological Chemistry
%K drug-targets protein-ligand-interactions
%N 27
%P 23653--23658
%R 10.1074/jbc.r110.174797
%T Discovering the Targets of Drugs Via Computational Systems Biology
%U http://dx.doi.org/10.1074/jbc.r110.174797
%V 286
%X Computational systems biology is empowering the study of drug action. Studies on biological effects of chemical compounds have increased in scale and accessibility, allowing integration with other large-scale experimental data types. Here, we review computational approaches for elucidating the mechanisms of both intended and undesirable effects of drugs, with the collective potential to change the nature of drug discovery and pharmacological therapy.
@article{Chua2011Discovering,
abstract = {Computational systems biology is empowering the study of drug action. Studies on biological effects of chemical compounds have increased in scale and accessibility, allowing integration with other large-scale experimental data types. Here, we review computational approaches for elucidating the mechanisms of both intended and undesirable effects of drugs, with the collective potential to change the nature of drug discovery and pharmacological therapy.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Chua, Hon N. and Roth, Frederick P.},
biburl = {https://www.bibsonomy.org/bibtex/25f61b8720686a672ec983418941806f7/karthikraman},
citeulike-article-id = {9300773},
citeulike-linkout-0 = {http://dx.doi.org/10.1074/jbc.r110.174797},
citeulike-linkout-1 = {http://www.jbc.org/content/early/2011/05/12/jbc.R110.174797.abstract},
citeulike-linkout-2 = {http://www.jbc.org/content/early/2011/05/12/jbc.R110.174797.full.pdf},
citeulike-linkout-3 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129145/},
citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/21566122},
citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=21566122},
day = 08,
doi = {10.1074/jbc.r110.174797},
interhash = {807c0e7bf7098b68d02358bca1f3f08d},
intrahash = {5f61b8720686a672ec983418941806f7},
issn = {1083-351X},
journal = {Journal of Biological Chemistry},
keywords = {drug-targets protein-ligand-interactions},
month = jul,
number = 27,
pages = {23653--23658},
pmcid = {PMC3129145},
pmid = {21566122},
posted-at = {2011-05-16 05:41:11},
priority = {2},
publisher = {American Society for Biochemistry and Molecular Biology},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Discovering the Targets of Drugs Via Computational Systems Biology},
url = {http://dx.doi.org/10.1074/jbc.r110.174797},
volume = 286,
year = 2011
}