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Computational drug repositioning for ischemic stroke: neuroprotective drug discovery

Published version
Peer-reviewed

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Authors

Yang, Jingbo 
Zhang, Yan 
Bender, Andreas 

Abstract

Background: A comprehensive approach to drug repositioning will be required to overcome translational hurdles and identify more neuroprotective drugs. Results & methods: Gene Set Enrichment Analysis was applied to identify related pathways and enriched genes. Candidate genes were optimized using ToppGene, ToppGenet and pBRIT. From the perspective of the local structures, gene–domain–substructure–drug relationships were constructed. Using the MCODE algorithm and K-means clustering, 31 functional subnetworks were obtained, and 252 drugs with proposed neuroprotective function were identified. Using computational analysis, 72 substructures with different scores were found to correspond to neuroprotective functions. The protective effects of benidipine and barnidipine were confirmed in vitro. Conclusion: The authors' research has great potential to discover more neuroprotective drugs and obtain more information regarding mechanisms of action and functional substructures.

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Keywords

Research Article

Journal Title

Future Medicinal Chemistry

Conference Name

Journal ISSN

1756-8919
1756-8927

Volume Title

0

Publisher

Newlands Press Ltd
Sponsorship
China Postdoctoral Science Foundation (2019M661302)
National Natural Science Foundation of China (61671191 and 61971166)