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Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays
Mammalian target of rapamycin (mTOR) is an attractive target for new anticancer drug development. We recently developed in silico models to distinguish mTOR inhibitors and non-inhibitors. In this study, we developed an integrated strategy for identifying new mTOR inhibitors using cascaded in silico...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702177/ https://www.ncbi.nlm.nih.gov/pubmed/26732172 http://dx.doi.org/10.1038/srep18987 |
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author | Wang, Ling Chen, Lei Yu, Miao Xu, Li-Hui Cheng, Bao Lin, Yong-Sheng Gu, Qiong He, Xian-Hui Xu, Jun |
author_facet | Wang, Ling Chen, Lei Yu, Miao Xu, Li-Hui Cheng, Bao Lin, Yong-Sheng Gu, Qiong He, Xian-Hui Xu, Jun |
author_sort | Wang, Ling |
collection | PubMed |
description | Mammalian target of rapamycin (mTOR) is an attractive target for new anticancer drug development. We recently developed in silico models to distinguish mTOR inhibitors and non-inhibitors. In this study, we developed an integrated strategy for identifying new mTOR inhibitors using cascaded in silico screening models. With this strategy, fifteen new mTOR kinase inhibitors including four compounds with IC(50) values below 10 μM were discovered. In particular, compound 17 exhibited potent anticancer activities against four tumor cell lines, including MCF-7, HeLa, MGC-803, and C6, with IC(50) values of 1.90, 2.74, 3.50 and 11.05 μM. Furthermore, cellular studies and western blot analyses revealed that 17 induces cell death via apoptosis by targeting both mTORC1 and mTORC2 within cells and arrests the cell cycle of HeLa at the G(1)/G(0)-phase. Finally, multi-nanosecond explicit solvent simulations and MM/GBSA analyses were carried out to study the inhibitory mechanisms of 13, 17, and 40 for mTOR. The potent compounds presented here are worthy of further investigation. |
format | Online Article Text |
id | pubmed-4702177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47021772016-01-14 Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays Wang, Ling Chen, Lei Yu, Miao Xu, Li-Hui Cheng, Bao Lin, Yong-Sheng Gu, Qiong He, Xian-Hui Xu, Jun Sci Rep Article Mammalian target of rapamycin (mTOR) is an attractive target for new anticancer drug development. We recently developed in silico models to distinguish mTOR inhibitors and non-inhibitors. In this study, we developed an integrated strategy for identifying new mTOR inhibitors using cascaded in silico screening models. With this strategy, fifteen new mTOR kinase inhibitors including four compounds with IC(50) values below 10 μM were discovered. In particular, compound 17 exhibited potent anticancer activities against four tumor cell lines, including MCF-7, HeLa, MGC-803, and C6, with IC(50) values of 1.90, 2.74, 3.50 and 11.05 μM. Furthermore, cellular studies and western blot analyses revealed that 17 induces cell death via apoptosis by targeting both mTORC1 and mTORC2 within cells and arrests the cell cycle of HeLa at the G(1)/G(0)-phase. Finally, multi-nanosecond explicit solvent simulations and MM/GBSA analyses were carried out to study the inhibitory mechanisms of 13, 17, and 40 for mTOR. The potent compounds presented here are worthy of further investigation. Nature Publishing Group 2016-01-06 /pmc/articles/PMC4702177/ /pubmed/26732172 http://dx.doi.org/10.1038/srep18987 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Ling Chen, Lei Yu, Miao Xu, Li-Hui Cheng, Bao Lin, Yong-Sheng Gu, Qiong He, Xian-Hui Xu, Jun Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays |
title | Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays |
title_full | Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays |
title_fullStr | Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays |
title_full_unstemmed | Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays |
title_short | Discovering new mTOR inhibitors for cancer treatment through virtual screening methods and in vitro assays |
title_sort | discovering new mtor inhibitors for cancer treatment through virtual screening methods and in vitro assays |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702177/ https://www.ncbi.nlm.nih.gov/pubmed/26732172 http://dx.doi.org/10.1038/srep18987 |
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