Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus

Autoimmune disorder is a chronic immune imbalance which is developed through a series of pathways. The defect in B cells, T cells, and lack of self-tolerance has been greatly associated with the onset of many types of autoimmune complications including rheumatoid arthritis, systemic lupus erythemato...

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Autores principales: Ghulam Mustafa, Hafiza Salaha Mahrosh, Mahwish Salman, Sumaira Sharif, Raheela Jabeen, Tanveer Majeed, Hafsah Tahir
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Publicado: Hindawi Limited 2021
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spelling oai:doaj.org-article:d4830ee3a4ac4b369b51142de47800c82021-11-22T01:11:40ZIdentification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus2314-614110.1155/2021/1124055https://doaj.org/article/d4830ee3a4ac4b369b51142de47800c82021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1124055https://doaj.org/toc/2314-6141Autoimmune disorder is a chronic immune imbalance which is developed through a series of pathways. The defect in B cells, T cells, and lack of self-tolerance has been greatly associated with the onset of many types of autoimmune complications including rheumatoid arthritis, systemic lupus erythematosus (SLE), multiple sclerosis, and chronic inflammatory demyelinating polyneuropathy. The SLE is an autoimmune disease with a common type of lupus that causes tissue and organ damage due to the wide spread of inflammation. In the current study, twenty anti-inflammatory peptides derived from plant and animal sources were docked as ligands or peptides counter to proinflammatory cytokines. Interferon gamma (IFN-γ), interleukin 3 (IL-3), and tumor necrosis factor alpha (TNF-α) were targeted in this study as these are involved in the pathogenesis of SLE in many clinical studies. Two docking approaches (i.e., protein-ligand docking and peptide-protein docking) were employed in this study using Molecular Operating Environment (MOE) software and HADDOCK web server, respectively. Amongst docked twenty peptides, the peptide DEDTQAMMPFR with S-score of -11.3018 and HADDOCK score of −10.3±2.5 kcal/mol showed the best binding interactions and energy validation with active amino acids of IFN-γ protein in both docking approaches. Depending upon these results, this peptide could be used as a potential drug candidate to target IFN-γ, IL-3, and TNF-α proteins to control inflammatory events. Other peptides (i.e., QEPQESQQ and FRDEHKK) also revealed good binding affinity with IFN-γ with S-scores of -10.98 and -10.55, respectively. Similarly, the peptides KHDRGDEF, FRDEHKK, and QEPQESQQ showed best binding interactions with IL-3 with S-scores of -8.81, -8.64, and -8.17, respectively.Ghulam MustafaHafiza Salaha MahroshMahwish SalmanSumaira SharifRaheela JabeenTanveer MajeedHafsah TahirHindawi LimitedarticleMedicineRENBioMed Research International, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
spellingShingle Medicine
R
Ghulam Mustafa
Hafiza Salaha Mahrosh
Mahwish Salman
Sumaira Sharif
Raheela Jabeen
Tanveer Majeed
Hafsah Tahir
Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus
description Autoimmune disorder is a chronic immune imbalance which is developed through a series of pathways. The defect in B cells, T cells, and lack of self-tolerance has been greatly associated with the onset of many types of autoimmune complications including rheumatoid arthritis, systemic lupus erythematosus (SLE), multiple sclerosis, and chronic inflammatory demyelinating polyneuropathy. The SLE is an autoimmune disease with a common type of lupus that causes tissue and organ damage due to the wide spread of inflammation. In the current study, twenty anti-inflammatory peptides derived from plant and animal sources were docked as ligands or peptides counter to proinflammatory cytokines. Interferon gamma (IFN-γ), interleukin 3 (IL-3), and tumor necrosis factor alpha (TNF-α) were targeted in this study as these are involved in the pathogenesis of SLE in many clinical studies. Two docking approaches (i.e., protein-ligand docking and peptide-protein docking) were employed in this study using Molecular Operating Environment (MOE) software and HADDOCK web server, respectively. Amongst docked twenty peptides, the peptide DEDTQAMMPFR with S-score of -11.3018 and HADDOCK score of −10.3±2.5 kcal/mol showed the best binding interactions and energy validation with active amino acids of IFN-γ protein in both docking approaches. Depending upon these results, this peptide could be used as a potential drug candidate to target IFN-γ, IL-3, and TNF-α proteins to control inflammatory events. Other peptides (i.e., QEPQESQQ and FRDEHKK) also revealed good binding affinity with IFN-γ with S-scores of -10.98 and -10.55, respectively. Similarly, the peptides KHDRGDEF, FRDEHKK, and QEPQESQQ showed best binding interactions with IL-3 with S-scores of -8.81, -8.64, and -8.17, respectively.
format article
author Ghulam Mustafa
Hafiza Salaha Mahrosh
Mahwish Salman
Sumaira Sharif
Raheela Jabeen
Tanveer Majeed
Hafsah Tahir
author_facet Ghulam Mustafa
Hafiza Salaha Mahrosh
Mahwish Salman
Sumaira Sharif
Raheela Jabeen
Tanveer Majeed
Hafsah Tahir
author_sort Ghulam Mustafa
title Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus
title_short Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus
title_full Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus
title_fullStr Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus
title_full_unstemmed Identification of Peptides as Novel Inhibitors to Target IFN-γ, IL-3, and TNF-α in Systemic Lupus Erythematosus
title_sort identification of peptides as novel inhibitors to target ifn-γ, il-3, and tnf-α in systemic lupus erythematosus
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/d4830ee3a4ac4b369b51142de47800c8
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