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Título

Comparison of ultra-fast 2D and 3D ligand and target descriptors for side effect prediction and network analysis in polypharmacology

Autor Cortés Cabrera, Álvaro; Morris, Garret M.; Finn, Paul W.; Morreale, Antonio; Gago, Federico
Palabras clave Adverse drug reactions
Side effects
Drug targets
Polypharmacology
Chemical fingerprints
Fecha de publicación 2013
EditorBritish Pharmacological Society
Citación British Journal of Pharmacology 170: 557- 567 (2013)
ResumenBackground and Purpose Some existing computational methods are used to infer protein targets of small molecules and can therefore be used to find new targets for existing drugs, with the goals of re-directing the molecule towards a different therapeutic purpose or explaining off-target effects due to multiple targeting. Inherent limitations, however, arise from the fact that chemical analogy is calculated on the basis of common frameworks or scaffolds and also because target information is neglected. The method we present addresses these issues by taking into account 3D information from both the ligand and the target. Experimental Approach ElectroShape is an established method for ultra-fast comparison of the shapes and charge distributions of ligands that is validated here for prediction of on-target activities, off-target profiles and adverse effects of drugs and drug-like molecules taken from the DrugBank database. Key Results The method is shown to predict polypharmacology profiles and relate targets from two complementary viewpoints (ligand- and target-based networks). Conclusions and Implications The open-access web tool presented here (http://ub.cbm.uam.es/chemogenomics/) allows interactive navigation in a unified 'pharmacological space' from the viewpoints of both ligands and targets. It also enables prediction of pharmacological profiles, including likely side effects, for new compounds. We hope this web interface will help many pharmacologists to become aware of this new paradigm (up to now mostly used in the realm of the so-called 'chemical biology') and encourage its use with a view to revealing 'hidden' relationships between new and existing compounds and pharmacologically relevant targets. © 2013 The British Pharmacological Society.
URI http://hdl.handle.net/10261/95699
DOI10.1111/bph.12294
Identificadoresdoi: 10.1111/bph.12294
issn: 0007-1188
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