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Detecting similar binding pockets to enable systems polypharmacology.
- Source :
-
PLoS computational biology [PLoS Comput Biol] 2017 Jun 29; Vol. 13 (6), pp. e1005522. Date of Electronic Publication: 2017 Jun 29 (Print Publication: 2017). - Publication Year :
- 2017
-
Abstract
- 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.
- Subjects :
- Binding Sites
Drug Discovery
Humans
Polypharmacy
Protein Binding
Protein Conformation
Protein Interaction Domains and Motifs
Systems Biology
Antineoplastic Agents chemistry
Molecular Docking Simulation
Neoplasm Proteins chemistry
Polypharmacology
Protein Interaction Mapping
Sequence Analysis, Protein
Subjects
Details
- Language :
- English
- ISSN :
- 1553-7358
- Volume :
- 13
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- PLoS computational biology
- Publication Type :
- Academic Journal
- Accession number :
- 28662117
- Full Text :
- https://doi.org/10.1371/journal.pcbi.1005522