Identification of Small Inhibitors for Human Metadherin, an Oncoprotein, through in silico Approach

Curr Comput Aided Drug Des. 2023;19(4):278-287. doi: 10.2174/1573409919666230110112356.

Abstract

Aims: Cancer is a disease that takes lives of thousands of people each year. There are more than 100 different types of cancers known to man. This fatal disease is one of the leading causes of death today.

Background: Astrocyte elevated gene-1(AEG-1)/Metadherin (MTDH) activates multiple oncogenic signaling pathways and leads to different types of cancers. MTDH interacting with staphylococcal nuclease domain containing 1(SND1) supports the survival and growth of mammary epithelial cells under oncogenic conditions.

Objective: Silencing MTDH or SND1 individually or disrupting their interaction compromises the tumorigenic potential of tumor-initiating cells. The aim of our present study was to investigate novel interactions of staphylococcal nuclease domain containing 1 (SND1) binding domain of AEG-1/MTDH with different lead compounds through molecular docking approach using MOE software.

Methods: Molecular docking was done by docking the ChemBridge database against important residues of MTDH involved in interaction with SND1. After docking the whole ChemBridge database, the top 200 interactive compounds were selected based on docking scores. After applying Lipinski's rule, all the remaining chosen compounds were studied on the basis of binding affinity, binding energy, docking score and protein-ligand interactions. Finally, 10 compounds showing multiple interactions with different amino acid residues were selected as the top interacting compounds.

Results: Three compounds were selected for simulation studies after testing these compounds using topkat toxicity and ADMET studies. The simulation study indicated that compound 32538601 is a lead compound for inhibiting MTDH-SND1 complex formation.

Conclusion: These novels, potent inhibitors of MTDH-SND1 complex can ultimately help us in controlling cancer up to some extent.

Keywords: Cancer; ChemBridge database; MTDH-SND1 complex; SND1; metadherin; molecular modeling.

MeSH terms

  • Endonucleases / metabolism
  • Humans
  • Male
  • Membrane Proteins / metabolism
  • Micrococcal Nuclease* / metabolism
  • Molecular Docking Simulation
  • Neoplasms*
  • Oncogene Proteins / metabolism
  • RNA-Binding Proteins

Substances

  • Micrococcal Nuclease
  • Oncogene Proteins
  • SND1 protein, human
  • Endonucleases
  • MTDH protein, human
  • Membrane Proteins
  • RNA-Binding Proteins