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Effective natural inhibitors targeting IGF-1R by computational study

IGF-1R belongs to a tyrosine kinase family and is currently a newly discovered drug target. IGF-1R inhibitors can bind directly to IGF-1R to achieve the effect of inhibiting the function of IGF-1R. At present, IGF-1R inhibitors have good clinical effects on Ewing sarcoma in the clinic. In this artic...

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Autores principales: Wang, Xinyu, Zhou, Pengcheng, Lin, Liangxin, Wu, Bo, Fu, Zhaoyu, Huang, Xing, Zhu, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217697/
https://www.ncbi.nlm.nih.gov/pubmed/35680570
http://dx.doi.org/10.18632/aging.204117
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author Wang, Xinyu
Zhou, Pengcheng
Lin, Liangxin
Wu, Bo
Fu, Zhaoyu
Huang, Xing
Zhu, Dong
author_facet Wang, Xinyu
Zhou, Pengcheng
Lin, Liangxin
Wu, Bo
Fu, Zhaoyu
Huang, Xing
Zhu, Dong
author_sort Wang, Xinyu
collection PubMed
description IGF-1R belongs to a tyrosine kinase family and is currently a newly discovered drug target. IGF-1R inhibitors can bind directly to IGF-1R to achieve the effect of inhibiting the function of IGF-1R. At present, IGF-1R inhibitors have good clinical effects on Ewing sarcoma in the clinic. In this article, we screened compounds capable of inhibiting IGF-1R function through computer-aided virtual technology. First, some molecules with good docking properties for IGF-1R can be screened by LibDock. Then, ADME analysis (adsorption, distribution, metabolism, and excretion) and toxicity indicators were performed. The mechanism of binding and the binding affinity in the middle of IGF-1R and ligand were verified using molecular docking. Ultimately, the stability of ligand-receptor complex was evaluated using molecular dynamics simulations. In line with the results, two natural compounds ZINC000014946303 and ZINC000006003042 were found in the ZINC database, potential effective inhibitors of IGF-1R. ZINC000014946303 and ZINC000006003042 can bind to IGF-1R with high binding affinity as predicted by molecular docking. It was also found that they are not hepatotoxic, with less developmental toxicity potential, rodent carcinogenicity, Ames mutagenicity, and high tolerance to cytochrome P4502D6. Hereby, this study aimed to screen out ideal compounds that have inhibitory effects on IGF-1R from the drug library and, at the same time, provide a direction for the future development of IGF-1R inhibitors.
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spelling pubmed-92176972022-06-24 Effective natural inhibitors targeting IGF-1R by computational study Wang, Xinyu Zhou, Pengcheng Lin, Liangxin Wu, Bo Fu, Zhaoyu Huang, Xing Zhu, Dong Aging (Albany NY) Research Paper IGF-1R belongs to a tyrosine kinase family and is currently a newly discovered drug target. IGF-1R inhibitors can bind directly to IGF-1R to achieve the effect of inhibiting the function of IGF-1R. At present, IGF-1R inhibitors have good clinical effects on Ewing sarcoma in the clinic. In this article, we screened compounds capable of inhibiting IGF-1R function through computer-aided virtual technology. First, some molecules with good docking properties for IGF-1R can be screened by LibDock. Then, ADME analysis (adsorption, distribution, metabolism, and excretion) and toxicity indicators were performed. The mechanism of binding and the binding affinity in the middle of IGF-1R and ligand were verified using molecular docking. Ultimately, the stability of ligand-receptor complex was evaluated using molecular dynamics simulations. In line with the results, two natural compounds ZINC000014946303 and ZINC000006003042 were found in the ZINC database, potential effective inhibitors of IGF-1R. ZINC000014946303 and ZINC000006003042 can bind to IGF-1R with high binding affinity as predicted by molecular docking. It was also found that they are not hepatotoxic, with less developmental toxicity potential, rodent carcinogenicity, Ames mutagenicity, and high tolerance to cytochrome P4502D6. Hereby, this study aimed to screen out ideal compounds that have inhibitory effects on IGF-1R from the drug library and, at the same time, provide a direction for the future development of IGF-1R inhibitors. Impact Journals 2022-06-09 /pmc/articles/PMC9217697/ /pubmed/35680570 http://dx.doi.org/10.18632/aging.204117 Text en Copyright: © 2022 Wang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Xinyu
Zhou, Pengcheng
Lin, Liangxin
Wu, Bo
Fu, Zhaoyu
Huang, Xing
Zhu, Dong
Effective natural inhibitors targeting IGF-1R by computational study
title Effective natural inhibitors targeting IGF-1R by computational study
title_full Effective natural inhibitors targeting IGF-1R by computational study
title_fullStr Effective natural inhibitors targeting IGF-1R by computational study
title_full_unstemmed Effective natural inhibitors targeting IGF-1R by computational study
title_short Effective natural inhibitors targeting IGF-1R by computational study
title_sort effective natural inhibitors targeting igf-1r by computational study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9217697/
https://www.ncbi.nlm.nih.gov/pubmed/35680570
http://dx.doi.org/10.18632/aging.204117
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