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Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening
Casein kinase II (CK2) is considered as an attractive cancer therapeutic target, and recent efforts have been made to develop its ATP-competitive inhibitors. However, achieving selectivity with respect to related kinases remains challenging due to the highly conserved ATP-binding pocket of kinases....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983002/ https://www.ncbi.nlm.nih.gov/pubmed/31935979 http://dx.doi.org/10.3390/molecules25010237 |
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author | Li, Chunqiong Zhang, Xuewen Zhang, Na Zhou, Yue Sun, Guohui Zhao, Lijiao Zhong, Rugang |
author_facet | Li, Chunqiong Zhang, Xuewen Zhang, Na Zhou, Yue Sun, Guohui Zhao, Lijiao Zhong, Rugang |
author_sort | Li, Chunqiong |
collection | PubMed |
description | Casein kinase II (CK2) is considered as an attractive cancer therapeutic target, and recent efforts have been made to develop its ATP-competitive inhibitors. However, achieving selectivity with respect to related kinases remains challenging due to the highly conserved ATP-binding pocket of kinases. Allosteric inhibitors, by targeting the much more diversified allosteric site relative to the highly conserved ATP-binding pocket, might be a promising strategy with the enhanced selectivity and reduced toxicity than ATP-competitive inhibitors. The previous studies have highlighted the traditional serendipitousity of discovering allosteric inhibitors owing to the complicate allosteric modulation. In this current study, we identified the novel allosteric inhibitors of CK2α by combing structure-based virtual screening and biological evaluation methods. The structure-based pharmacophore model was built based on the crystal structure of CK2α-compound 15 complex. The ChemBridge fragment library was searched by evaluating the fit values of these molecules with the optimized pharmacophore model, as well as the binding affinity of the CK2α-ligand complexes predicted by Alloscore web server. Six hits forming the holistic interaction mechanism with the αD pocket were retained after pharmacophore- and Alloscore-based screening for biological test. Compound 3 was found to be the most potent non-ATP competitive CK2α inhibitor (IC(50) = 13.0 μM) with the anti-proliferative activity on A549 cancer cells (IC(50) = 23.1 μM). Our results provide new clues for further development of CK2 allosteric inhibitors as anti-cancer hits. |
format | Online Article Text |
id | pubmed-6983002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69830022020-02-06 Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening Li, Chunqiong Zhang, Xuewen Zhang, Na Zhou, Yue Sun, Guohui Zhao, Lijiao Zhong, Rugang Molecules Article Casein kinase II (CK2) is considered as an attractive cancer therapeutic target, and recent efforts have been made to develop its ATP-competitive inhibitors. However, achieving selectivity with respect to related kinases remains challenging due to the highly conserved ATP-binding pocket of kinases. Allosteric inhibitors, by targeting the much more diversified allosteric site relative to the highly conserved ATP-binding pocket, might be a promising strategy with the enhanced selectivity and reduced toxicity than ATP-competitive inhibitors. The previous studies have highlighted the traditional serendipitousity of discovering allosteric inhibitors owing to the complicate allosteric modulation. In this current study, we identified the novel allosteric inhibitors of CK2α by combing structure-based virtual screening and biological evaluation methods. The structure-based pharmacophore model was built based on the crystal structure of CK2α-compound 15 complex. The ChemBridge fragment library was searched by evaluating the fit values of these molecules with the optimized pharmacophore model, as well as the binding affinity of the CK2α-ligand complexes predicted by Alloscore web server. Six hits forming the holistic interaction mechanism with the αD pocket were retained after pharmacophore- and Alloscore-based screening for biological test. Compound 3 was found to be the most potent non-ATP competitive CK2α inhibitor (IC(50) = 13.0 μM) with the anti-proliferative activity on A549 cancer cells (IC(50) = 23.1 μM). Our results provide new clues for further development of CK2 allosteric inhibitors as anti-cancer hits. MDPI 2020-01-06 /pmc/articles/PMC6983002/ /pubmed/31935979 http://dx.doi.org/10.3390/molecules25010237 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Chunqiong Zhang, Xuewen Zhang, Na Zhou, Yue Sun, Guohui Zhao, Lijiao Zhong, Rugang Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening |
title | Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening |
title_full | Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening |
title_fullStr | Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening |
title_full_unstemmed | Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening |
title_short | Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening |
title_sort | identification and biological evaluation of ck2 allosteric fragments through structure-based virtual screening |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983002/ https://www.ncbi.nlm.nih.gov/pubmed/31935979 http://dx.doi.org/10.3390/molecules25010237 |
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