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Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents
The human epidermal growth factor (HER2) is a transmembrane receptor that is highly expressed in breast cancer and in different other cancers. Therefore, it is of interest to identify the new HER2 inhibitors from a selected 300 compounds in the ZINC database. The top two hit compounds (ZINC000014780...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573456/ https://www.ncbi.nlm.nih.gov/pubmed/34803263 http://dx.doi.org/10.6026/97320630016882 |
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author | Sait, Khalid Hussain Wali Mashraqi, Mutaib Khogeer, Asim Abdulaziz Alzahrani, Othman Anfinan, Nisreen M Sait, Hesham Khalid Almutairi, Abdulrahman Alam, Qamre |
author_facet | Sait, Khalid Hussain Wali Mashraqi, Mutaib Khogeer, Asim Abdulaziz Alzahrani, Othman Anfinan, Nisreen M Sait, Hesham Khalid Almutairi, Abdulrahman Alam, Qamre |
author_sort | Sait, Khalid Hussain Wali |
collection | PubMed |
description | The human epidermal growth factor (HER2) is a transmembrane receptor that is highly expressed in breast cancer and in different other cancers. Therefore, it is of interest to identify the new HER2 inhibitors from a selected 300 compounds in the ZINC database. The top two hit compounds (ZINC000014780728 (-11.0 kcal/mol) and ZINC000014762512 (-10.8 kcal/mol)) showed a high affinity with HER2 relative to the reference compound (lapatinib (-10.2 kcal/mol)) for further consideration. |
format | Online Article Text |
id | pubmed-8573456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-85734562021-11-18 Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents Sait, Khalid Hussain Wali Mashraqi, Mutaib Khogeer, Asim Abdulaziz Alzahrani, Othman Anfinan, Nisreen M Sait, Hesham Khalid Almutairi, Abdulrahman Alam, Qamre Bioinformation Research Article The human epidermal growth factor (HER2) is a transmembrane receptor that is highly expressed in breast cancer and in different other cancers. Therefore, it is of interest to identify the new HER2 inhibitors from a selected 300 compounds in the ZINC database. The top two hit compounds (ZINC000014780728 (-11.0 kcal/mol) and ZINC000014762512 (-10.8 kcal/mol)) showed a high affinity with HER2 relative to the reference compound (lapatinib (-10.2 kcal/mol)) for further consideration. Biomedical Informatics 2020-11-30 /pmc/articles/PMC8573456/ /pubmed/34803263 http://dx.doi.org/10.6026/97320630016882 Text en © 2020 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research Article Sait, Khalid Hussain Wali Mashraqi, Mutaib Khogeer, Asim Abdulaziz Alzahrani, Othman Anfinan, Nisreen M Sait, Hesham Khalid Almutairi, Abdulrahman Alam, Qamre Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents |
title | Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents |
title_full | Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents |
title_fullStr | Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents |
title_full_unstemmed | Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents |
title_short | Molecular docking analysis of HER-2 inhibitor from the ZINC database as anticancer agents |
title_sort | molecular docking analysis of her-2 inhibitor from the zinc database as anticancer agents |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573456/ https://www.ncbi.nlm.nih.gov/pubmed/34803263 http://dx.doi.org/10.6026/97320630016882 |
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