# name
Detecting similar binding pockets to enable systems polypharmacology

# metadata.dc.description.abstract[].value
In the era of systems biology, multi-target pharmacological strategies hold promise for tackling disease-related networks. In this regard, drug promiscuity may be leveraged to interfere with multiple receptors: the so-called polypharmacology of drugs can be anticipated by analyzing the similarity of binding sites across the proteome. Here, we perform a pairwise comparison of 90,000 putative binding pockets detected in 3,700 proteins, and find that 23,000 pairs of proteins have at least one similar cavity that could, in principle, accommodate similar ligands. By inspecting these pairs, we demonstrate how the detection of similar binding sites expands the space of opportunities for the rational design of drug polypharmacology. Finally, we illustrate how to leverage these opportunities in protein-protein interaction networks related to several therapeutic classes and tumor types, and in a genome-scale metabolic model of leukemia.

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PLoS Computational Biology, 2017, vol. 13, num. 6, p. e1005522

# metadata.dc.rights[].value
cc-by (c) Duran Frigola, Miquel et al., 2017

# metadata.dc.source[].value
Articles publicats en revistes (Farmàcia, Tecnologia Farmacèutica i Fisicoquímica)

# metadata.dc.title[].value
Detecting similar binding pockets to enable systems polypharmacology