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Identify promising IKK-β inhibitors: A docking-based 3D-QSAR study combining molecular design and molecular dynamics simulation
Inhibitor of nuclear factor kappa B kinase subunit beta (IKK-β), a specific regulator of nuclear factor-κB (NF-κB), is considered a valid target to design novel drugs to treat rheumatoid arthritis, glomerulonephritis and various cancers. In this study, in order to design and then identify promising...
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Published in: | Arabian journal of chemistry 2022-05, Vol.15 (5), p.103786, Article 103786 |
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creator | Li, Liang Peng, Chang'en Wang, Yonggang Xiong, Chan Liu, Yefang Wu, Chunjie Wang, Jiaolong |
description | Inhibitor of nuclear factor kappa B kinase subunit beta (IKK-β), a specific regulator of nuclear factor-κB (NF-κB), is considered a valid target to design novel drugs to treat rheumatoid arthritis, glomerulonephritis and various cancers. In this study, in order to design and then identify promising compounds targeting IKK-β, a series of reported IKK-β inhibitors were used to develop 3D-QSAR models. Docking-based and minimization-based poses were generated for model construction. CoMSIA model #8 based on docking poses was selected due to its satisfactory internal and external validation results and the sufficient information delivery capability. After a contour map analysis, 41 new designs were depicted based on a graphical design scheme and 25 of them were assessed as eligible for screening. Compound 21MX007 has aroused our attention for its both competitive QSAR-prediction and docking-scoring result. Detailed docking interactions of 21MX007-protein complex were investigated via a deep analysis of docking results and a comparative molecular dynamics simulation. Strong interactions and an extra hydrogen bond which echoes the H-bond requirements of substituent acquired from the design scheme were observed. From MD analysis, 21MX007-protein system was tested. The system was proved to have good stability in terms of a downward trend of RMSD and Rg values and a continuous and stable H-bond interaction and a lower average binding free energy. Thus, compound 21MX007 was successfully identified as a promising IKK-β inhibitor. |
doi_str_mv | 10.1016/j.arabjc.2022.103786 |
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In this study, in order to design and then identify promising compounds targeting IKK-β, a series of reported IKK-β inhibitors were used to develop 3D-QSAR models. Docking-based and minimization-based poses were generated for model construction. CoMSIA model #8 based on docking poses was selected due to its satisfactory internal and external validation results and the sufficient information delivery capability. After a contour map analysis, 41 new designs were depicted based on a graphical design scheme and 25 of them were assessed as eligible for screening. Compound 21MX007 has aroused our attention for its both competitive QSAR-prediction and docking-scoring result. Detailed docking interactions of 21MX007-protein complex were investigated via a deep analysis of docking results and a comparative molecular dynamics simulation. Strong interactions and an extra hydrogen bond which echoes the H-bond requirements of substituent acquired from the design scheme were observed. From MD analysis, 21MX007-protein system was tested. The system was proved to have good stability in terms of a downward trend of RMSD and Rg values and a continuous and stable H-bond interaction and a lower average binding free energy. 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In this study, in order to design and then identify promising compounds targeting IKK-β, a series of reported IKK-β inhibitors were used to develop 3D-QSAR models. Docking-based and minimization-based poses were generated for model construction. CoMSIA model #8 based on docking poses was selected due to its satisfactory internal and external validation results and the sufficient information delivery capability. After a contour map analysis, 41 new designs were depicted based on a graphical design scheme and 25 of them were assessed as eligible for screening. Compound 21MX007 has aroused our attention for its both competitive QSAR-prediction and docking-scoring result. Detailed docking interactions of 21MX007-protein complex were investigated via a deep analysis of docking results and a comparative molecular dynamics simulation. Strong interactions and an extra hydrogen bond which echoes the H-bond requirements of substituent acquired from the design scheme were observed. From MD analysis, 21MX007-protein system was tested. The system was proved to have good stability in terms of a downward trend of RMSD and Rg values and a continuous and stable H-bond interaction and a lower average binding free energy. Thus, compound 21MX007 was successfully identified as a promising IKK-β inhibitor.</description><subject>3D-QSAR</subject><subject>IKK-β</subject><subject>Molecular design</subject><subject>Molecular docking</subject><subject>Molecular dynamics simulation</subject><issn>1878-5352</issn><issn>1878-5379</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kc1u1DAURiMEEqXwBiz8Ahn8E9tJF0ijQumolRDQri3Hvp7eMLErO600O56JB-kzNdNUFStW1zrWd3Svvqr6yOiKUaY-DSubbT-4Faecz0joVr2qjlir21oK3b1-eUv-tnpXykCpplSoo-rPxkOcMOzJbU4jFoxbsrm4qB_-Eow32OOUcjkha-KT-z1_1r0t4In4Uv_4tf5JynTn98Slscd4iI5pB-5uZzPxUHAbiY3-X7iPdkRXSMFxBhOm-L56E-yuwIfneVxdn329Oj2vL79_25yuL2snhFB1Ayw476BtLacts851glqhgINtRRM6JbwPUivdMauk6GTTsC5oJpmUWoI4rjaL1yc7mNuMo817kyyaJ5Dy1tg8oduBEaEPVmrNfQezRbWcUxDApZOqV8rPrmZxuZxKyRBefIyaQyNmMEsj5tCIWRqZY5-XGMx33iNkUxxCdOAxg5vmRfD_gkcEXJdG</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Li, Liang</creator><creator>Peng, Chang'en</creator><creator>Wang, Yonggang</creator><creator>Xiong, Chan</creator><creator>Liu, Yefang</creator><creator>Wu, Chunjie</creator><creator>Wang, Jiaolong</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>202205</creationdate><title>Identify promising IKK-β inhibitors: A docking-based 3D-QSAR study combining molecular design and molecular dynamics simulation</title><author>Li, Liang ; Peng, Chang'en ; Wang, Yonggang ; Xiong, Chan ; Liu, Yefang ; Wu, Chunjie ; Wang, Jiaolong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3336-4e1fcdce88a2081acc930a36e2ea834f963ddf576791a653954419f71515575e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>3D-QSAR</topic><topic>IKK-β</topic><topic>Molecular design</topic><topic>Molecular docking</topic><topic>Molecular dynamics simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Liang</creatorcontrib><creatorcontrib>Peng, Chang'en</creatorcontrib><creatorcontrib>Wang, Yonggang</creatorcontrib><creatorcontrib>Xiong, Chan</creatorcontrib><creatorcontrib>Liu, Yefang</creatorcontrib><creatorcontrib>Wu, Chunjie</creatorcontrib><creatorcontrib>Wang, Jiaolong</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Arabian journal of chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Liang</au><au>Peng, Chang'en</au><au>Wang, Yonggang</au><au>Xiong, Chan</au><au>Liu, Yefang</au><au>Wu, Chunjie</au><au>Wang, Jiaolong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identify promising IKK-β inhibitors: A docking-based 3D-QSAR study combining molecular design and molecular dynamics simulation</atitle><jtitle>Arabian journal of chemistry</jtitle><date>2022-05</date><risdate>2022</risdate><volume>15</volume><issue>5</issue><spage>103786</spage><pages>103786-</pages><artnum>103786</artnum><issn>1878-5352</issn><eissn>1878-5379</eissn><abstract>Inhibitor of nuclear factor kappa B kinase subunit beta (IKK-β), a specific regulator of nuclear factor-κB (NF-κB), is considered a valid target to design novel drugs to treat rheumatoid arthritis, glomerulonephritis and various cancers. In this study, in order to design and then identify promising compounds targeting IKK-β, a series of reported IKK-β inhibitors were used to develop 3D-QSAR models. Docking-based and minimization-based poses were generated for model construction. CoMSIA model #8 based on docking poses was selected due to its satisfactory internal and external validation results and the sufficient information delivery capability. After a contour map analysis, 41 new designs were depicted based on a graphical design scheme and 25 of them were assessed as eligible for screening. Compound 21MX007 has aroused our attention for its both competitive QSAR-prediction and docking-scoring result. Detailed docking interactions of 21MX007-protein complex were investigated via a deep analysis of docking results and a comparative molecular dynamics simulation. Strong interactions and an extra hydrogen bond which echoes the H-bond requirements of substituent acquired from the design scheme were observed. From MD analysis, 21MX007-protein system was tested. The system was proved to have good stability in terms of a downward trend of RMSD and Rg values and a continuous and stable H-bond interaction and a lower average binding free energy. Thus, compound 21MX007 was successfully identified as a promising IKK-β inhibitor.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.arabjc.2022.103786</doi><oa>free_for_read</oa></addata></record> |
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subjects | 3D-QSAR IKK-β Molecular design Molecular docking Molecular dynamics simulation |
title | Identify promising IKK-β inhibitors: A docking-based 3D-QSAR study combining molecular design and molecular dynamics simulation |
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