ArticleF1000Research2017
A simple mathematical approach to the analysis of polypharmacology and polyspecificity data.
Article in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Set-Theoretic Formalism for Treating Ligand-Target Datasets.Molecules (Basel, Switzerland) · 2021Article
- Drug Targetor: a web interface to investigate the human druggome for over 500 phenotypes.Bioinformatics (Oxford, England) · 2019Article
- Using genetic drug-target networks to develop new drug hypotheses for major depressive disorder.Translational psychiatry · 2019Article
- Expanding the chemical information science gateway.F1000Research · 2017Article
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Authors and funding
2 authors.
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Abstract
There many possible types of drug-target interactions, because there are a surprising number of ways in which drugs and their targets can associate with one another. These relationships are expressed as polypharmacology and polyspecificity. Polypharmacology is the capability of a given drug to exhibit activity with respect to multiple drug targets, which are not necessarily in the same activity class. Adverse drug reactions ('side effects') are its principal manifestation, but polypharmacology is also playing a role in the repositioning of existing drugs for new therapeutic indications. Polyspecificity, on the other hand, is the capability of a given target to exhibit activity with respect to multiple, structurally dissimilar drugs. That these concepts are closely related to one another is, surprisingly, not well known. It will be shown in this work that they are, in fact, mathematically related to one another and are in essence 'two sides of the same coin'. Hence, information on polypharmacology provides equivalent information on polyspecificity, and
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