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Identification of effective natural PIK3CA H1047R inhibitors by computational study

Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with a poor prognosis and a high recurrence rate. PIK3CA gene is frequently mutated in breast cancer, with PIK3CA H1047R as the hotspot mutation reported in TNBC. We used the ZINC database to screen natural compound...

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Autores principales: Liu, Naimeng, Wang, Xinhui, Li, Xuan, Lv, Xiaye, Xie, Haoqun, Guo, Zhen, Wang, Jing, Dou, Gaojing, Du, Ye, Song, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436935/
https://www.ncbi.nlm.nih.gov/pubmed/34415239
http://dx.doi.org/10.18632/aging.203409
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author Liu, Naimeng
Wang, Xinhui
Li, Xuan
Lv, Xiaye
Xie, Haoqun
Guo, Zhen
Wang, Jing
Dou, Gaojing
Du, Ye
Song, Dong
author_facet Liu, Naimeng
Wang, Xinhui
Li, Xuan
Lv, Xiaye
Xie, Haoqun
Guo, Zhen
Wang, Jing
Dou, Gaojing
Du, Ye
Song, Dong
author_sort Liu, Naimeng
collection PubMed
description Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with a poor prognosis and a high recurrence rate. PIK3CA gene is frequently mutated in breast cancer, with PIK3CA H1047R as the hotspot mutation reported in TNBC. We used the ZINC database to screen natural compounds that could be structurally modified to develop drugs targeting the PIK3CA H1047R mutant protein in the PI3K pathway. The LibDock module showed that 2,749 compounds could strongly bind to the PIK3CA H1047R protein. Ultimately, the top 20 natural ligands with high LibDock scores were used for further analyses including assessment of ADME (absorption, distribution, metabolism, and excretion), toxicity, stability, and binding affinity. ZINC000004098448 and ZINC000014715656 were selected as the safest drug candidates with strong binding affinity to PIK3CA H1047R, no hepatotoxicity, less carcinogenicity, better plasma protein binding (PPB) properties, and enhanced intestinal permeability and absorption than the two reference drugs, PKI-402 and wortmannin. Moreover, their lower potential energies than those of PIK3CA H1047R confirmed the stability of the ligand-receptor complex under physiological conditions. ZINC000004098448 and ZINC000014715656 are thus safe and stable leads for designing drugs against PIK3CA H1047R as part of a targeted therapeutic approach for patients with TNBC.
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spelling pubmed-84369352021-09-14 Identification of effective natural PIK3CA H1047R inhibitors by computational study Liu, Naimeng Wang, Xinhui Li, Xuan Lv, Xiaye Xie, Haoqun Guo, Zhen Wang, Jing Dou, Gaojing Du, Ye Song, Dong Aging (Albany NY) Research Paper Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with a poor prognosis and a high recurrence rate. PIK3CA gene is frequently mutated in breast cancer, with PIK3CA H1047R as the hotspot mutation reported in TNBC. We used the ZINC database to screen natural compounds that could be structurally modified to develop drugs targeting the PIK3CA H1047R mutant protein in the PI3K pathway. The LibDock module showed that 2,749 compounds could strongly bind to the PIK3CA H1047R protein. Ultimately, the top 20 natural ligands with high LibDock scores were used for further analyses including assessment of ADME (absorption, distribution, metabolism, and excretion), toxicity, stability, and binding affinity. ZINC000004098448 and ZINC000014715656 were selected as the safest drug candidates with strong binding affinity to PIK3CA H1047R, no hepatotoxicity, less carcinogenicity, better plasma protein binding (PPB) properties, and enhanced intestinal permeability and absorption than the two reference drugs, PKI-402 and wortmannin. Moreover, their lower potential energies than those of PIK3CA H1047R confirmed the stability of the ligand-receptor complex under physiological conditions. ZINC000004098448 and ZINC000014715656 are thus safe and stable leads for designing drugs against PIK3CA H1047R as part of a targeted therapeutic approach for patients with TNBC. Impact Journals 2021-08-20 /pmc/articles/PMC8436935/ /pubmed/34415239 http://dx.doi.org/10.18632/aging.203409 Text en Copyright: © 2021 Liu 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
Liu, Naimeng
Wang, Xinhui
Li, Xuan
Lv, Xiaye
Xie, Haoqun
Guo, Zhen
Wang, Jing
Dou, Gaojing
Du, Ye
Song, Dong
Identification of effective natural PIK3CA H1047R inhibitors by computational study
title Identification of effective natural PIK3CA H1047R inhibitors by computational study
title_full Identification of effective natural PIK3CA H1047R inhibitors by computational study
title_fullStr Identification of effective natural PIK3CA H1047R inhibitors by computational study
title_full_unstemmed Identification of effective natural PIK3CA H1047R inhibitors by computational study
title_short Identification of effective natural PIK3CA H1047R inhibitors by computational study
title_sort identification of effective natural pik3ca h1047r inhibitors by computational study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436935/
https://www.ncbi.nlm.nih.gov/pubmed/34415239
http://dx.doi.org/10.18632/aging.203409
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