The efficiency of multi-target drugs: the network approach might help drug design

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dc.creatorCsermely, Peter
dc.creatorAgoston, Vilmos
dc.creatorPongor, Sandor
dc.date2004-12-27
dc.date2005-04-10
dc.date.accessioned2026-07-07T05:58:50Z
dc.date.available2026-07-07T05:58:50Z
dc.descriptionDespite considerable progress in genome- and proteome-based high-throughput screening methods and rational drug design, the number of successful single target drugs did not increase appreciably during the past decade. Network models suggest that partial inhibition of a surprisingly small number of targets can be more efficient than the complete inhibition of a single target. This and the success stories of multi-target drugs and combinatorial therapies led us to suggest that systematic drug design strategies should be directed against multiple targets. We propose that the final effect of partial, but multiple drug actions might often surpass that of complete drug action at a single target. The future success of this novel drug design paradigm will depend not only on a new generation of computer models to identify the correct multiple hits and their multi-fitting, low-affinity drug candidates but also on more efficient in vivo testing.
dc.description6 pages, 2 figures, 1 box, 38 references
dc.identifierhttps://arxiv.org/abs/q-bio/0412045
dc.identifierhttp://arxiv.org/abs/q-bio/0412045
dc.identifierTrends in Pharmacological Sciences 26, 178-182 (2005)
dc.identifierdoi:10.1016/j.tips.2005.02.007
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88511
dc.subjectMolecular Networks
dc.titleThe efficiency of multi-target drugs: the network approach might help drug design
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