Maria Apriliani Gani, Ahmad Dzulikri Nurhan, Bulan Rhea Kaulika Hadinar Putri, Andhi Suyatno, Shakil Ahmed Khan, Chrismawan Ardianto, Fedik Abdul Rantam, Junaidi Khotib
{"title":"寻找骨肉瘤双作用多靶点抑制剂的计算方法。","authors":"Maria Apriliani Gani, Ahmad Dzulikri Nurhan, Bulan Rhea Kaulika Hadinar Putri, Andhi Suyatno, Shakil Ahmed Khan, Chrismawan Ardianto, Fedik Abdul Rantam, Junaidi Khotib","doi":"10.4103/japtr.japtr_541_22","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>-1</sup>, that of simvastatin was -8.3 to -9.2 kcal mol<sup>-1</sup>, whereas dexamethasone ranged from -6.9 to -9.1 kcal mol<sup>-1</sup>. 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.</p>","PeriodicalId":14877,"journal":{"name":"Journal of Advanced Pharmaceutical Technology & Research","volume":"14 1","pages":"18-23"},"PeriodicalIF":1.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/29/1b/JAPTR-14-18.PMC10026319.pdf","citationCount":"0","resultStr":"{\"title\":\"Computational approach in searching for dual action multitarget inhibitors for osteosarcoma.\",\"authors\":\"Maria Apriliani Gani, Ahmad Dzulikri Nurhan, Bulan Rhea Kaulika Hadinar Putri, Andhi Suyatno, Shakil Ahmed Khan, Chrismawan Ardianto, Fedik Abdul Rantam, Junaidi Khotib\",\"doi\":\"10.4103/japtr.japtr_541_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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<sup>-1</sup>, that of simvastatin was -8.3 to -9.2 kcal mol<sup>-1</sup>, whereas dexamethasone ranged from -6.9 to -9.1 kcal mol<sup>-1</sup>. Most types of interactions were hydrophobically followed by hydrogen bonding. 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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 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.
期刊介绍:
Journal of Advanced Pharmaceutical Technology & Research (JAPTR) is an Official Publication of Society of Pharmaceutical Education & Research™. It is an international journal published Quarterly. Journal of Advanced Pharmaceutical Technology & Research (JAPTR) is available in online and print version. It is a peer reviewed journal aiming to communicate high quality original research work, reviews, short communications, case report, Ethics Forum, Education Forum and Letter to editor that contribute significantly to further the scientific knowledge related to the field of Pharmacy i.e. Pharmaceutics, Pharmacology, Pharmacognosy, Pharmaceutical Chemistry. Articles with timely interest and newer research concepts will be given more preference.