Literature DB >> 19668871

The topology of drug-target interaction networks: implicit dependence on drug properties and target families.

Jordi Mestres1, Elisabet Gregori-Puigjané, Sergi Valverde, Ricard V Solé.   

Abstract

The availability of interaction data between small molecule drugs and protein targets has increased substantially in recent years. Using seven different databases, we were able to assemble a total of 4767 unique interactions between 802 drugs and 480 targets, which means that on average every drug is currently acknowledged to interact with 6 targets. The application of network theory to the analysis of these data reveals an unexpectedly complex picture of drug-target interactions. The results confirm that the topology of drug-target networks depends implicitly on data completeness, drug properties, and target families. The implications for drug discovery are discussed.

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Year:  2009        PMID: 19668871     DOI: 10.1039/b905821b

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  56 in total

Review 1.  The human endogenous metabolome as a pharmacology baseline for drug discovery.

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2.  Navigating the kinome.

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Review 3.  Diverse array-designed modes of combination therapies in Fangjiomics.

Authors:  Jun Liu; Zhong Wang
Journal:  Acta Pharmacol Sin       Date:  2015-04-13       Impact factor: 6.150

4.  Drug repurposing: far beyond new targets for old drugs.

Authors:  T I Oprea; J Mestres
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Review 5.  Intrinsically disordered proteins are potential drug targets.

Authors:  Steven J Metallo
Journal:  Curr Opin Chem Biol       Date:  2010-07-02       Impact factor: 8.822

6.  Systematic Data Mining Reveals Synergistic H3R/MCHR1 Ligands.

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Review 7.  The chemical basis of pharmacology.

Authors:  Michael J Keiser; John J Irwin; Brian K Shoichet
Journal:  Biochemistry       Date:  2010-11-12       Impact factor: 3.162

8.  The Mycobacterium tuberculosis drugome and its polypharmacological implications.

Authors:  Sarah L Kinnings; Li Xie; Kingston H Fung; Richard M Jackson; Lei Xie; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2010-11-04       Impact factor: 4.475

9.  Chemical genetics of rapamycin-insensitive TORC2 in S. cerevisiae.

Authors:  Joseph I Kliegman; Dorothea Fiedler; Colm J Ryan; Yi-Fan Xu; Xiao-Yang Su; David Thomas; Max C Caccese; Ada Cheng; Michael Shales; Joshua D Rabinowitz; Nevan J Krogan; Kevan M Shokat
Journal:  Cell Rep       Date:  2013-12-19       Impact factor: 9.423

Review 10.  Target deconvolution techniques in modern phenotypic profiling.

Authors:  Jiyoun Lee; Matthew Bogyo
Journal:  Curr Opin Chem Biol       Date:  2013-01-18       Impact factor: 8.822

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