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In silico drug repositioning of FDA-approved drugs to predict new inhibitors for alpha-synuclein aggregation

Jafaripour, SS; Gharaghani, S; Nazarshodeh, E; Haider, S; Saboury, AA; (2020) In silico drug repositioning of FDA-approved drugs to predict new inhibitors for alpha-synuclein aggregation. Computational Biology and Chemistry , 88 , Article 107308. 10.1016/j.compbiolchem.2020.107308. Green open access

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Abstract

One of the hallmarks of Parkinson's disease (PD), a long-term neurodegenerative syndrome, is the accumulation of alpha-synuclein (α-syn) fibrils. Despite numerous studies and efforts, inhibition of α-syn protein aggregation is still a challenge. To overcome this issue, we propose an in silico pharmacophore-based repositioning strategy, to find a pharmaceutical drug that, in addition to their defined role, can be used to prevent aggregation of the α-syn protein. Ligand-based pharmacophore modeling was developed and the best model was selected with validation parameters including 72 % sensitivity, 98 % specificity and goodness score about 0.7. The optimal model has three groups of hydrogen bond donor (HBD), three groups of hydrogen bond acceptor (HBA), and two aromatic rings (AR). The FDA-Approved reports in the ZINC15 database were screened with the pharmacophore model taken from inhibitor compounds. The model identified 22 hits, as promising candidate drugs for Parkinson's therapy. It is noteworthy that among these, 10 drugs have been reported to inhibition of α-syn aggregation or treat/reduce Parkinson's pathogenesis. This model was used to virtual screen ZINC, NCI databases, and natural products from the pomegranate. The results of this screen were filtered for their inability to cross the blood-brain barrier, poor oral bioavailability, etc. Finally, the selected compounds of two ZINC and NCI databases were combined and structurally clustered. Remained compounds were clustered in 28 different clusters, and the 17 compounds were introduced as final candidates.

Type: Article
Title: In silico drug repositioning of FDA-approved drugs to predict new inhibitors for alpha-synuclein aggregation
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compbiolchem.2020.107308
Publisher version: https://doi.org/10.1016/j.compbiolchem.2020.107308
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Aggregation inhibitors, Alpha-synuclein (α-syn), Pharmacophore-based repositioning
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy > Pharma and Bio Chemistry
URI: https://discovery.ucl.ac.uk/id/eprint/10108756
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