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Cited by 203

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

Mestres, Jordi, Gregori-Puigjané, Elisabet, Valverde, Sergi, Solé, Ricard V·2009·Molecular BioSystems

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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Metadata

Authors
Mestres, J., Gregori-Puigjané, E., Valverde, S., & Solé, R. V.
Venue
Molecular BioSystems
Published
2009-07-08
Volume
5
Issue
9
Pages
1051-1057
ISSN
  • 1742-2051 (ISSN-L)
  • 1742-206X
OpenAlex
W1992578437
Cited by
203
References
2
FWCI
18.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The topology of drug–target interaction networks: implicit dependence on drug properties and target families. https://app.cochat.ai/papers/10.1039/b905821b
The paper
Mestres, J., Gregori-Puigjané, E., Valverde, S., & Solé, R. V. (2009). The topology of drug–target interaction networks: implicit dependence on drug properties and target families. Molecular BioSystems. https://doi.org/10.1039/b905821b

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.