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Identification of potential TNF-α inhibitors: from in silico to in vitro studies
Tumor Necrosis Factor Alpha (TNF-α) is a pleiotropic pro-inflammatory cytokine. It act as central biological regulator in critical immune functions, but its dysregulation has been linked with a number of diseases. Inhibition of TNF-α has considerable therapeutic potential for diseases such as cancer...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708426/ https://www.ncbi.nlm.nih.gov/pubmed/33262408 http://dx.doi.org/10.1038/s41598-020-77750-3 |
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author | Zia, Komal Ashraf, Sajda Jabeen, Almas Saeed, Maria Nur-e-Alam, Mohammad Ahmed, Sarfaraz Al-Rehaily, Adnan J. Ul-Haq, Zaheer |
author_facet | Zia, Komal Ashraf, Sajda Jabeen, Almas Saeed, Maria Nur-e-Alam, Mohammad Ahmed, Sarfaraz Al-Rehaily, Adnan J. Ul-Haq, Zaheer |
author_sort | Zia, Komal |
collection | PubMed |
description | Tumor Necrosis Factor Alpha (TNF-α) is a pleiotropic pro-inflammatory cytokine. It act as central biological regulator in critical immune functions, but its dysregulation has been linked with a number of diseases. Inhibition of TNF-α has considerable therapeutic potential for diseases such as cancer, diabetes, and especially autoimmune diseases. Despite the fact that many small molecule inhibitors have been identified against TNF-α, no orally active drug has been reported yet which demand an urgent need of a small molecule drug against TNF-α. This study focuses on the development of ligand-based selective pharmacophore model to perform virtual screening of plant origin natural product database for the identification of potential inhibitors against TNF-α. The resultant hits, identified as actives were evaluated by molecular docking studies to get insight into their potential binding interaction with the target protein. Based on pharmacophore matching, interacting residues, docking score, more affinity towards TNF-α with diverse scaffolds five compounds were selected for in vitro activity study. Experimental validation led to the identification of three chemically diverse potential compounds with the IC(50) 32.5 ± 4.5 µM, 6.5 ± 0.8 µM and 27.4 ± 1.7 µM, respectively. |
format | Online Article Text |
id | pubmed-7708426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77084262020-12-02 Identification of potential TNF-α inhibitors: from in silico to in vitro studies Zia, Komal Ashraf, Sajda Jabeen, Almas Saeed, Maria Nur-e-Alam, Mohammad Ahmed, Sarfaraz Al-Rehaily, Adnan J. Ul-Haq, Zaheer Sci Rep Article Tumor Necrosis Factor Alpha (TNF-α) is a pleiotropic pro-inflammatory cytokine. It act as central biological regulator in critical immune functions, but its dysregulation has been linked with a number of diseases. Inhibition of TNF-α has considerable therapeutic potential for diseases such as cancer, diabetes, and especially autoimmune diseases. Despite the fact that many small molecule inhibitors have been identified against TNF-α, no orally active drug has been reported yet which demand an urgent need of a small molecule drug against TNF-α. This study focuses on the development of ligand-based selective pharmacophore model to perform virtual screening of plant origin natural product database for the identification of potential inhibitors against TNF-α. The resultant hits, identified as actives were evaluated by molecular docking studies to get insight into their potential binding interaction with the target protein. Based on pharmacophore matching, interacting residues, docking score, more affinity towards TNF-α with diverse scaffolds five compounds were selected for in vitro activity study. Experimental validation led to the identification of three chemically diverse potential compounds with the IC(50) 32.5 ± 4.5 µM, 6.5 ± 0.8 µM and 27.4 ± 1.7 µM, respectively. Nature Publishing Group UK 2020-12-01 /pmc/articles/PMC7708426/ /pubmed/33262408 http://dx.doi.org/10.1038/s41598-020-77750-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zia, Komal Ashraf, Sajda Jabeen, Almas Saeed, Maria Nur-e-Alam, Mohammad Ahmed, Sarfaraz Al-Rehaily, Adnan J. Ul-Haq, Zaheer Identification of potential TNF-α inhibitors: from in silico to in vitro studies |
title | Identification of potential TNF-α inhibitors: from in silico to in vitro studies |
title_full | Identification of potential TNF-α inhibitors: from in silico to in vitro studies |
title_fullStr | Identification of potential TNF-α inhibitors: from in silico to in vitro studies |
title_full_unstemmed | Identification of potential TNF-α inhibitors: from in silico to in vitro studies |
title_short | Identification of potential TNF-α inhibitors: from in silico to in vitro studies |
title_sort | identification of potential tnf-α inhibitors: from in silico to in vitro studies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708426/ https://www.ncbi.nlm.nih.gov/pubmed/33262408 http://dx.doi.org/10.1038/s41598-020-77750-3 |
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