Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents
Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y.
Royal Society
Published 2018
Royal Society
Published 2018
Publication Date: |
2018-07-05
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Publisher: |
Royal Society
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Electronic ISSN: |
2054-5703
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Topics: |
Natural Sciences in General
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Keywords: |
medicinal chemistry, computer-aided design
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Published by: |
_version_ | 1836398998526623744 |
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autor | Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. |
beschreibung | Metastatic cancer is considered a fatal progression of cancer worldwide. It has been shown that a key player in this scenario is the CXC chemokine receptor 2 (CXCR2). To identify novel CXCR2 antagonists, a pharmacophore model was built with the H ip H op program by screening a database containing compounds which were designed based on the known structure–activity relationship (SAR) of the diarylurea series CXCR2 antagonists. Compound 1a bearing the novel skeleton was selected from database screening and subjected to the in vitro biological test which showed a moderate CXCR2 antagonist potential. With further modification and exploration of SAR, compound 1e demonstrated improved CXCR2 antagonist activity with an IC 50 value of 14.8 µM. Furthermore, wound healing assay using the NCI-H1299 cell line indicated that 1e showed an excellent anti-cancer metastatic effect (72% inhibition in cell migration at 50 µg ml –1 ). |
citation_standardnr | 6299427 |
datenlieferant | ipn_articles |
feed_id | 220702 |
feed_publisher | Royal Society |
feed_publisher_url | http://royalsocietypublishing.org/ |
insertion_date | 2018-07-05 |
journaleissn | 2054-5703 |
publikationsjahr_anzeige | 2018 |
publikationsjahr_facette | 2018 |
publikationsjahr_intervall | 7984:2015-2019 |
publikationsjahr_sort | 2018 |
publisher | Royal Society |
quelle | Royal Society Open Science |
relation | http://rsos.royalsocietypublishing.org/cgi/content/short/5/7/180176?rss=1 |
schlagwort | medicinal chemistry, computer-aided design |
search_space | articles |
shingle_author_1 | Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. |
shingle_author_2 | Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. |
shingle_author_3 | Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. |
shingle_author_4 | Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. |
shingle_catch_all_1 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents medicinal chemistry, computer-aided design Metastatic cancer is considered a fatal progression of cancer worldwide. It has been shown that a key player in this scenario is the CXC chemokine receptor 2 (CXCR2). To identify novel CXCR2 antagonists, a pharmacophore model was built with the H ip H op program by screening a database containing compounds which were designed based on the known structure–activity relationship (SAR) of the diarylurea series CXCR2 antagonists. Compound 1a bearing the novel skeleton was selected from database screening and subjected to the in vitro biological test which showed a moderate CXCR2 antagonist potential. With further modification and exploration of SAR, compound 1e demonstrated improved CXCR2 antagonist activity with an IC 50 value of 14.8 µM. Furthermore, wound healing assay using the NCI-H1299 cell line indicated that 1e showed an excellent anti-cancer metastatic effect (72% inhibition in cell migration at 50 µg ml –1 ). Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. Royal Society 2054-5703 20545703 |
shingle_catch_all_2 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents medicinal chemistry, computer-aided design Metastatic cancer is considered a fatal progression of cancer worldwide. It has been shown that a key player in this scenario is the CXC chemokine receptor 2 (CXCR2). To identify novel CXCR2 antagonists, a pharmacophore model was built with the H ip H op program by screening a database containing compounds which were designed based on the known structure–activity relationship (SAR) of the diarylurea series CXCR2 antagonists. Compound 1a bearing the novel skeleton was selected from database screening and subjected to the in vitro biological test which showed a moderate CXCR2 antagonist potential. With further modification and exploration of SAR, compound 1e demonstrated improved CXCR2 antagonist activity with an IC 50 value of 14.8 µM. Furthermore, wound healing assay using the NCI-H1299 cell line indicated that 1e showed an excellent anti-cancer metastatic effect (72% inhibition in cell migration at 50 µg ml –1 ). Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. Royal Society 2054-5703 20545703 |
shingle_catch_all_3 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents medicinal chemistry, computer-aided design Metastatic cancer is considered a fatal progression of cancer worldwide. It has been shown that a key player in this scenario is the CXC chemokine receptor 2 (CXCR2). To identify novel CXCR2 antagonists, a pharmacophore model was built with the H ip H op program by screening a database containing compounds which were designed based on the known structure–activity relationship (SAR) of the diarylurea series CXCR2 antagonists. Compound 1a bearing the novel skeleton was selected from database screening and subjected to the in vitro biological test which showed a moderate CXCR2 antagonist potential. With further modification and exploration of SAR, compound 1e demonstrated improved CXCR2 antagonist activity with an IC 50 value of 14.8 µM. Furthermore, wound healing assay using the NCI-H1299 cell line indicated that 1e showed an excellent anti-cancer metastatic effect (72% inhibition in cell migration at 50 µg ml –1 ). Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. Royal Society 2054-5703 20545703 |
shingle_catch_all_4 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents medicinal chemistry, computer-aided design Metastatic cancer is considered a fatal progression of cancer worldwide. It has been shown that a key player in this scenario is the CXC chemokine receptor 2 (CXCR2). To identify novel CXCR2 antagonists, a pharmacophore model was built with the H ip H op program by screening a database containing compounds which were designed based on the known structure–activity relationship (SAR) of the diarylurea series CXCR2 antagonists. Compound 1a bearing the novel skeleton was selected from database screening and subjected to the in vitro biological test which showed a moderate CXCR2 antagonist potential. With further modification and exploration of SAR, compound 1e demonstrated improved CXCR2 antagonist activity with an IC 50 value of 14.8 µM. Furthermore, wound healing assay using the NCI-H1299 cell line indicated that 1e showed an excellent anti-cancer metastatic effect (72% inhibition in cell migration at 50 µg ml –1 ). Che, J., Wang, Z., Sheng, H., Huang, F., Dong, X., Hu, Y., Xie, X., Hu, Y. Royal Society 2054-5703 20545703 |
shingle_title_1 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents |
shingle_title_2 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents |
shingle_title_3 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents |
shingle_title_4 | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents |
timestamp | 2025-06-30T23:35:59.355Z |
titel | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents |
titel_suche | Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents |
topic | TA-TD |
uid | ipn_articles_6299427 |