Computational drug repositioning for ischemic stroke: neuroprotective drug discovery

Future Med Chem. 2021 Aug;13(15):1271-1283. doi: 10.4155/fmc-2021-0022. Epub 2021 Jun 17.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Apoptosis / drug effects
  • Cell Line
  • Computational Biology / methods*
  • Dihydropyridines / chemistry
  • Dihydropyridines / pharmacology
  • Dihydropyridines / therapeutic use
  • Drug Discovery
  • Drug Repositioning*
  • Humans
  • Ischemic Stroke / drug therapy*
  • Ischemic Stroke / genetics
  • Ischemic Stroke / pathology
  • Mice
  • Neuroprotective Agents / chemistry
  • Neuroprotective Agents / pharmacology
  • Neuroprotective Agents / therapeutic use*
  • Nifedipine / analogs & derivatives
  • Nifedipine / chemistry
  • Nifedipine / pharmacology
  • Nifedipine / therapeutic use
  • Oxidative Stress / drug effects

Substances

  • Dihydropyridines
  • Neuroprotective Agents
  • mepirodipine
  • benidipine
  • Nifedipine