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Novel analogs of sulfasalazine as system xc antiporter inhibitors: Insights from the molecular modeling studies

  • Dhavalkumar Patel
  • , Prashant S. Kharkar
  • , Neha S. Gandhi
  • , Ekjot Kaur
  • , Shilpee Dutt
  • , Mukesh Nandave*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

System xc (Sxc ), a cystine-glutamate antiporter, is established as an interesting target for the treatment of several pathologies including epileptic seizures, glioma, neurodegenerative diseases, and multiple sclerosis. Erastin, sorafenib, and sulfasalazine (SSZ) are a few of the established inhibitors of Sxc . However, its pharmacological inhibition with novel and potent agents is still very much required due to potential issues, for example, potency, bioavailability, and blood–brain barrier (BBB) permeability, with the current lead molecules such as SSZ. Therefore, in this study, we report the synthesis and structure–activity relationships (SAR) of SSZ derivatives along with molecular docking and dynamics simulations using the developed homology model of xCT chain of Sxc antiporter. The generated homology model attempted to address the limitations of previously reported comparative protein models, thereby increasing the confidence in the computational modeling studies. The main objective of the present study was to derive a suitable lead structure from SSZ eliminating its potential issues for the treatment of glioblastoma multiforme (GBM), a deadly and malignant grade IV astrocytoma. The designed compounds with favorable Sxc inhibitory activity following in vitro Sxc inhibition studies, showed moderately potent cytotoxicity in patient-derived human glioblastoma cells, thereby generating potential interest in these compounds. The xCT-ligand model can be further optimized in search of potent lead molecules for novel drug discovery and development studies.

Original languageEnglish
Pages (from-to)758-777
Number of pages20
JournalDrug Development Research
Volume80
Issue number6
DOIs
Publication statusPublished - 01-09-2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Drug Discovery

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