Drug-target network. Export

@article{citeulike:1747117, abstract = {The global set of relationships between protein targets of all drugs and all disease-gene products in the human protein-protein interaction or 'interactome' network remains uncharacterized. We built a bipartite graph composed of US Food and Drug Administration-approved drugs and proteins linked by drug-target binary associations. The resulting network connects most drugs into a highly interlinked giant component, with strong local clustering of drugs of similar types according to Anatomical Therapeutic Chemical classification. Topological analyses of this network quantitatively showed an overabundance of 'follow-on' drugs, that is, drugs that target already targeted proteins. By including drugs currently under investigation, we identified a trend toward more functionally diverse targets improving polypharmacology. To analyze the relationships between drug targets and disease-gene products, we measured the shortest distance between both sets of proteins in current models of the human interactome network. Significant differences in distance were found between etiological and palliative drugs. A recent trend toward more rational drug design was observed.}, author = {Yildirim, Muhammed A. and Goh, Kwang-Il I. and Cusick, Michael E. and Barab\'{a}si, Albert-L\'{a}szl\'{o} L. and Vidal, Marc}, citeulike-article-id = {1747117}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nbt1338}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nbt1338}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17921997}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17921997}, doi = {10.1038/nbt1338}, issn = {1087-0156}, journal = {Nature biotechnology}, keywords = {drug, sysbio}, month = {October}, number = {10}, pages = {1119--1126}, posted-at = {2007-10-19 01:34:30}, priority = {3}, title = {Drug-target network.}, url = {http://dx.doi.org/10.1038/nbt1338}, volume = {25}, year = {2007} }

TY - JOUR ID - citeulike:1747117 L3 - citeulike-article-id:1747117 N2 - The global set of relationships between protein targets of all drugs and all disease-gene products in the human protein-protein interaction or 'interactome' network remains uncharacterized. We built a bipartite graph composed of US Food and Drug Administration-approved drugs and proteins linked by drug-target binary associations. The resulting network connects most drugs into a highly interlinked giant component, with strong local clustering of drugs of similar types according to Anatomical Therapeutic Chemical classification. Topological analyses of this network quantitatively showed an overabundance of 'follow-on' drugs, that is, drugs that target already targeted proteins. By including drugs currently under investigation, we identified a trend toward more functionally diverse targets improving polypharmacology. To analyze the relationships between drug targets and disease-gene products, we measured the shortest distance between both sets of proteins in current models of the human interactome network. Significant differences in distance were found between etiological and palliative drugs. A recent trend toward more rational drug design was observed. IS - 10 JF - Nature biotechnology SN - 1087-0156 EP - 1126 TI - Drug-target network. VL - 25 SP - 1119 KW - drug KW - sysbio AU - Yildirim, Muhammed AU - Goh, Kwang-Il AU - Cusick, Michael AU - Barabási, Albert-László AU - Vidal, Marc PY - 2007/10// UR - http://dx.doi.org/10.1038/nbt1338 ER -