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Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase

[Image: see text] Xanthine oxidase (XO), which can catalyze the formation of xanthine or hypoxanthine to uric acid, is the most important target of gout. To explore the conformational changes for inhibitor binding, molecular dockings and molecular dynamics simulations were performed. Docking results...

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Autores principales: Pan, Yue, Lu, Zhongkui, Li, Congcong, Qi, Renrui, Chang, Hao, Han, Lu, Han, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154014/
https://www.ncbi.nlm.nih.gov/pubmed/34056319
http://dx.doi.org/10.1021/acsomega.1c00968
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author Pan, Yue
Lu, Zhongkui
Li, Congcong
Qi, Renrui
Chang, Hao
Han, Lu
Han, Weiwei
author_facet Pan, Yue
Lu, Zhongkui
Li, Congcong
Qi, Renrui
Chang, Hao
Han, Lu
Han, Weiwei
author_sort Pan, Yue
collection PubMed
description [Image: see text] Xanthine oxidase (XO), which can catalyze the formation of xanthine or hypoxanthine to uric acid, is the most important target of gout. To explore the conformational changes for inhibitor binding, molecular dockings and molecular dynamics simulations were performed. Docking results indicated that three inhibitors had similar pose binding to XO. Molecular dynamics simulations showed that the binding of three inhibitors influenced the secondary structure changes in XO. After binding to the inhibitor, the peptide Phe798-Leu814 formed different degrees of unhelix, while for the peptide Glu1065-Ser1075, only a partial helix region was formed when allopurinol was bound. Through the protein structure analysis in the simulation process, we found that the distance between the active residues Arg880 and Thr1010 was reduced and the distance between Glu802 and Thr1010 was increased after the addition of inhibitors. The above simulation results showed the similarities and differences of the interaction between the three inhibitors binding to the protein. MM-PBSA calculations suggested that, among three inhibitors, allopurinol had the best binding effect with XO followed by daidzin and puerarin. This finding was consistent with previous experimental data. Our results can provide some useful clues for further gout treatment research.
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spelling pubmed-81540142021-05-27 Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase Pan, Yue Lu, Zhongkui Li, Congcong Qi, Renrui Chang, Hao Han, Lu Han, Weiwei ACS Omega [Image: see text] Xanthine oxidase (XO), which can catalyze the formation of xanthine or hypoxanthine to uric acid, is the most important target of gout. To explore the conformational changes for inhibitor binding, molecular dockings and molecular dynamics simulations were performed. Docking results indicated that three inhibitors had similar pose binding to XO. Molecular dynamics simulations showed that the binding of three inhibitors influenced the secondary structure changes in XO. After binding to the inhibitor, the peptide Phe798-Leu814 formed different degrees of unhelix, while for the peptide Glu1065-Ser1075, only a partial helix region was formed when allopurinol was bound. Through the protein structure analysis in the simulation process, we found that the distance between the active residues Arg880 and Thr1010 was reduced and the distance between Glu802 and Thr1010 was increased after the addition of inhibitors. The above simulation results showed the similarities and differences of the interaction between the three inhibitors binding to the protein. MM-PBSA calculations suggested that, among three inhibitors, allopurinol had the best binding effect with XO followed by daidzin and puerarin. This finding was consistent with previous experimental data. Our results can provide some useful clues for further gout treatment research. American Chemical Society 2021-04-22 /pmc/articles/PMC8154014/ /pubmed/34056319 http://dx.doi.org/10.1021/acsomega.1c00968 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Pan, Yue
Lu, Zhongkui
Li, Congcong
Qi, Renrui
Chang, Hao
Han, Lu
Han, Weiwei
Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase
title Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase
title_full Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase
title_fullStr Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase
title_full_unstemmed Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase
title_short Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase
title_sort molecular dockings and molecular dynamics simulations reveal the potency of different inhibitors against xanthine oxidase
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154014/
https://www.ncbi.nlm.nih.gov/pubmed/34056319
http://dx.doi.org/10.1021/acsomega.1c00968
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