Structural insight into TNF-α inhibitors through combining pharmacophore-based virtual screening and molecular dynamic simulation

Hina Qaiser, Maria Saeed, Dmitry Nerukh, Zaheer Ul-Haq

Research output: Contribution to journalArticlepeer-review

Abstract

Tumor Necrosis Factor-alpha (TNF-α), a multifunctional cytokine responsible for providing resistance against infections, inflammation, and cancers. TNF-α has emerged as a promising drug target against several autoimmune and inflammatory disorders. Several synthetic antibodies (Infliximab, Etanercept, and Adalimumab) are available, but their potential to cause severe side effects has prompted them to develop alternative small molecules-based therapies for inhibition of TNF-α. In the present study, combined in silico approaches based on pharmacophore modeling, virtual screening, molecular docking, and molecular dynamics studies were employed to understand significant direct interactions between TNF-α protein and small molecule inhibitors. Initially, four different small molecule libraries (∼17.5 million molecules) were virtually screened against the selected pharmacophore model. The identified hits were further subjected to molecular docking studies. The three potent lead compounds (ZINC05848961, ZINC09402309, ZINC04502991) were further subjected to 100 ns molecular dynamic studies to examine their stability. Our docking and molecular dynamic analysis revealed that the selected lead compounds target the TNF receptor (TNFR) and efficiently block the production of TNF. Moreover, in silico ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) analysis revealed that all the predicted compounds have good pharmacokinetic properties with high gastrointestinal absorption and a decent bioavailability score. Furthermore, toxicity profiles further evidenced that these compounds have no risk of being mutagenic, tumorigenic, reproductive and irritant except ZINC11915498. In conclusion, the present study could serve as the starting point to develop new therapeutic regimens to treat various TNF- related diseases.
Original languageEnglish
Number of pages20
JournalJournal of Biomolecular Structure and Dynamics
Early online date24 Jul 2020
DOIs
Publication statusE-pub ahead of print - 24 Jul 2020

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Biomolecular Structure and Dynamics on 24 July 2020, available online at: http://www.tandfonline.com/10.1080/07391102.2020.1796794

Keywords

  • Autoimmunity
  • MD simulation
  • TNF receptor
  • docking
  • pharmacophore

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