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A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber
Lung cancer is one of the most lethal malignancies in the world. However, current curative approaches for treating this type of cancer have some weaknesses. Therefore, scientists are attempting to discover new anti-lung cancer agents. Sea cucumber is a marine-derived source for discovering biologica...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223633/ https://www.ncbi.nlm.nih.gov/pubmed/37233477 http://dx.doi.org/10.3390/md21050283 |
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author | Zare, Afshin Izanloo, Safoura Khaledi, Sajed Maratovich, Mussin Nadiar Kaliyev, Asset Askerovich Abenova, Nurgul Abdullayevna Rahmanifar, Farhad Mahdipour, Mahdi Bakhshalizadeh, Shabnam Shirazi, Reza Tanideh, Nader Tamadon, Amin |
author_facet | Zare, Afshin Izanloo, Safoura Khaledi, Sajed Maratovich, Mussin Nadiar Kaliyev, Asset Askerovich Abenova, Nurgul Abdullayevna Rahmanifar, Farhad Mahdipour, Mahdi Bakhshalizadeh, Shabnam Shirazi, Reza Tanideh, Nader Tamadon, Amin |
author_sort | Zare, Afshin |
collection | PubMed |
description | Lung cancer is one of the most lethal malignancies in the world. However, current curative approaches for treating this type of cancer have some weaknesses. Therefore, scientists are attempting to discover new anti-lung cancer agents. Sea cucumber is a marine-derived source for discovering biologically active compounds with anti-lung cancer properties. To explore the anti-lung cancer properties of sea cucumber, we analyzed surveys using VOSviewer software and identified the most frequently used keywords. We then searched the Google Scholar database for compounds with anti-lung cancer properties within that keyword family. Finally, we used AutoDock 4 to identify the compounds with the highest affinity for apoptotic receptors in lung cancer cells. The results showed that triterpene glucosides were the most frequently identified compounds in studies examining the anti-cancer properties of sea cucumbers. Intercedenside C, Scabraside A, and Scabraside B were the three triterpene glycosides with the highest affinity for apoptotic receptors in lung cancer cells. To the best of our knowledge, this is the first time that anti-lung cancer properties of sea cucumber-derived compounds have been examined in in silico conditions. Ultimately, these three components displayed anti-lung cancer properties in in silico conditions and may be used for the manufacture of anti-lung cancer agents in the near future. |
format | Online Article Text |
id | pubmed-10223633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102236332023-05-28 A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber Zare, Afshin Izanloo, Safoura Khaledi, Sajed Maratovich, Mussin Nadiar Kaliyev, Asset Askerovich Abenova, Nurgul Abdullayevna Rahmanifar, Farhad Mahdipour, Mahdi Bakhshalizadeh, Shabnam Shirazi, Reza Tanideh, Nader Tamadon, Amin Mar Drugs Review Lung cancer is one of the most lethal malignancies in the world. However, current curative approaches for treating this type of cancer have some weaknesses. Therefore, scientists are attempting to discover new anti-lung cancer agents. Sea cucumber is a marine-derived source for discovering biologically active compounds with anti-lung cancer properties. To explore the anti-lung cancer properties of sea cucumber, we analyzed surveys using VOSviewer software and identified the most frequently used keywords. We then searched the Google Scholar database for compounds with anti-lung cancer properties within that keyword family. Finally, we used AutoDock 4 to identify the compounds with the highest affinity for apoptotic receptors in lung cancer cells. The results showed that triterpene glucosides were the most frequently identified compounds in studies examining the anti-cancer properties of sea cucumbers. Intercedenside C, Scabraside A, and Scabraside B were the three triterpene glycosides with the highest affinity for apoptotic receptors in lung cancer cells. To the best of our knowledge, this is the first time that anti-lung cancer properties of sea cucumber-derived compounds have been examined in in silico conditions. Ultimately, these three components displayed anti-lung cancer properties in in silico conditions and may be used for the manufacture of anti-lung cancer agents in the near future. MDPI 2023-04-28 /pmc/articles/PMC10223633/ /pubmed/37233477 http://dx.doi.org/10.3390/md21050283 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zare, Afshin Izanloo, Safoura Khaledi, Sajed Maratovich, Mussin Nadiar Kaliyev, Asset Askerovich Abenova, Nurgul Abdullayevna Rahmanifar, Farhad Mahdipour, Mahdi Bakhshalizadeh, Shabnam Shirazi, Reza Tanideh, Nader Tamadon, Amin A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber |
title | A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber |
title_full | A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber |
title_fullStr | A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber |
title_full_unstemmed | A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber |
title_short | A Bibliometric and In Silico-Based Analysis of Anti-Lung Cancer Compounds from Sea Cucumber |
title_sort | bibliometric and in silico-based analysis of anti-lung cancer compounds from sea cucumber |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223633/ https://www.ncbi.nlm.nih.gov/pubmed/37233477 http://dx.doi.org/10.3390/md21050283 |
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