dorsal/arxiv
View SchemaThe efficiency of multi-target drugs: the network approach might help drug design
| Authors | Peter Csermely, Vilmos Agoston, Sandor Pongor |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0412045 |
| URL | https://arxiv.org/abs/q-bio/0412045 |
| DOI | 10.1016/j.tips.2005.02.007 |
| Journal | Trends in Pharmacological Sciences 26, 178-182 (2005) |
Abstract
Despite 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.
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"abstract": "Despite considerable progress in genome- and proteome-based high-throughput\nscreening methods and rational drug design, the number of successful single\ntarget drugs did not increase appreciably during the past decade. Network\nmodels suggest that partial inhibition of a surprisingly small number of\ntargets can be more efficient than the complete inhibition of a single target.\nThis and the success stories of multi-target drugs and combinatorial therapies\nled us to suggest that systematic drug design strategies should be directed\nagainst multiple targets. We propose that the final effect of partial, but\nmultiple drug actions might often surpass that of complete drug action at a\nsingle target. The future success of this novel drug design paradigm will\ndepend not only on a new generation of computer models to identify the correct\nmultiple hits and their multi-fitting, low-affinity drug candidates but also on\nmore efficient in vivo testing.",
"arxiv_id": "q-bio/0412045",
"authors": [
"Peter Csermely",
"Vilmos Agoston",
"Sandor Pongor"
],
"categories": [
"q-bio.MN"
],
"doi": "10.1016/j.tips.2005.02.007",
"journal_ref": "Trends in Pharmacological Sciences 26, 178-182 (2005)",
"title": "The efficiency of multi-target drugs: the network approach might help drug design",
"url": "https://arxiv.org/abs/q-bio/0412045"
},
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