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Computational approach in searching for dual action multitarget inhibitors for osteosarcoma
Osteosarcoma is a common primary malignant bone tumor that typically manifests in the second decade of life. This study aimed to identify osteogenic compounds that potentially serve as multitarget inhibitors for osteosarcoma. The study was a molecular docking study of nine Food and Drug Administrati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026319/ https://www.ncbi.nlm.nih.gov/pubmed/36950466 http://dx.doi.org/10.4103/japtr.japtr_541_22 |
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author | Gani, Maria Apriliani Nurhan, Ahmad Dzulikri Hadinar Putri, Bulan Rhea Kaulika Suyatno, Andhi Khan, Shakil Ahmed Ardianto, Chrismawan Rantam, Fedik Abdul Khotib, Junaidi |
author_facet | Gani, Maria Apriliani Nurhan, Ahmad Dzulikri Hadinar Putri, Bulan Rhea Kaulika Suyatno, Andhi Khan, Shakil Ahmed Ardianto, Chrismawan Rantam, Fedik Abdul Khotib, Junaidi |
author_sort | Gani, Maria Apriliani |
collection | PubMed |
description | Osteosarcoma is a common primary malignant bone tumor that typically manifests in the second decade of life. This study aimed to identify osteogenic compounds that potentially serve as multitarget inhibitors for osteosarcoma. The study was a molecular docking study of nine Food and Drug Administration-approved compounds with osteogenic properties to the key membrane proteins of osteosarcoma. The ligands used were raloxifene, simvastatin, dexamethasone, risedronate, ibandronate, zoledronic acid, ascorbic acid, alendronate, and β-glycerophosphate, whereas the target proteins used were RET, fibroblast growth factor receptor 1, KIT, PDGFRA, VEGFR1, and VEGFR2. Chem3D version 15.0.0.106 was used for ligand preparation, and AutoDockTools version 1.5.6 was used for protein preparation, whereas molecular docking was conducted using AutoDock Vina. Raloxifene, simvastatin, and dexamethasone had the lowest binding activity to the target proteins. The binding affinity of raloxifene was from −8.4 to −10.0 kcal mol(−1), that of simvastatin was −8.3 to −9.2 kcal mol(−1), whereas dexamethasone ranged from −6.9 to −9.1 kcal mol(−1). Most types of interactions were hydrophobically followed by hydrogen bonding. The current study suggests that raloxifene, simvastatin, and dexamethasone have the potential to act as multitarget inhibitors for osteosarcoma with the ability to induce bone remodeling. |
format | Online Article Text |
id | pubmed-10026319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-100263192023-03-21 Computational approach in searching for dual action multitarget inhibitors for osteosarcoma Gani, Maria Apriliani Nurhan, Ahmad Dzulikri Hadinar Putri, Bulan Rhea Kaulika Suyatno, Andhi Khan, Shakil Ahmed Ardianto, Chrismawan Rantam, Fedik Abdul Khotib, Junaidi J Adv Pharm Technol Res Original Article Osteosarcoma is a common primary malignant bone tumor that typically manifests in the second decade of life. This study aimed to identify osteogenic compounds that potentially serve as multitarget inhibitors for osteosarcoma. The study was a molecular docking study of nine Food and Drug Administration-approved compounds with osteogenic properties to the key membrane proteins of osteosarcoma. The ligands used were raloxifene, simvastatin, dexamethasone, risedronate, ibandronate, zoledronic acid, ascorbic acid, alendronate, and β-glycerophosphate, whereas the target proteins used were RET, fibroblast growth factor receptor 1, KIT, PDGFRA, VEGFR1, and VEGFR2. Chem3D version 15.0.0.106 was used for ligand preparation, and AutoDockTools version 1.5.6 was used for protein preparation, whereas molecular docking was conducted using AutoDock Vina. Raloxifene, simvastatin, and dexamethasone had the lowest binding activity to the target proteins. The binding affinity of raloxifene was from −8.4 to −10.0 kcal mol(−1), that of simvastatin was −8.3 to −9.2 kcal mol(−1), whereas dexamethasone ranged from −6.9 to −9.1 kcal mol(−1). Most types of interactions were hydrophobically followed by hydrogen bonding. The current study suggests that raloxifene, simvastatin, and dexamethasone have the potential to act as multitarget inhibitors for osteosarcoma with the ability to induce bone remodeling. Wolters Kluwer - Medknow 2023 2023-01-20 /pmc/articles/PMC10026319/ /pubmed/36950466 http://dx.doi.org/10.4103/japtr.japtr_541_22 Text en Copyright: © 2023 Journal of Advanced Pharmaceutical Technology & Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Gani, Maria Apriliani Nurhan, Ahmad Dzulikri Hadinar Putri, Bulan Rhea Kaulika Suyatno, Andhi Khan, Shakil Ahmed Ardianto, Chrismawan Rantam, Fedik Abdul Khotib, Junaidi Computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
title | Computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
title_full | Computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
title_fullStr | Computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
title_full_unstemmed | Computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
title_short | Computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
title_sort | computational approach in searching for dual action multitarget inhibitors for osteosarcoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026319/ https://www.ncbi.nlm.nih.gov/pubmed/36950466 http://dx.doi.org/10.4103/japtr.japtr_541_22 |
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