Dataset Information

Promising Terpenes as Natural Antagonists of Cancer: An In-Silico Approach.

ABSTRACT: Overexpression of murine double minute 2 (MDM2) results in the inactivation of p53 and causes cancer which is a leading cause of death in recent era. In recent decades, much attention has been paid to discover potential inhibitors against MDM2 in order to cure cancer. Outcomes from studies proposes that the MDM2 is a hot target to screen potent antagonists. Thus, this study aims at discovering natural compounds using several computational approaches to inhibit the MDM2 and to eliminate p53-MDM2 interaction, which would result in the reactivation of p53 activity. A library of 500 terpenes was prepared and several virtual screening approaches were employed to find out the best hits which could serve as p53-MDM2 antagonists. On the basis of the designed protocol, three terpenes were selected. In the present study, for the stability and validation of selected three protein-ligand complexes 20 ns molecular dynamics simulations and principal component analyses (PCA) were performed. Results found that the selected terpenes hits (3-trans-p-coumaroyl maslinic acid, Silvestrol and Betulonic acid) are potential inhibitors of p53-MDM2 interaction and could serve as potent antagonists.

SUBMITTER: Muhseen ZT

PROVIDER: S-EPMC6983034 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Promising Terpenes as Natural Antagonists of Cancer: An In-Silico Approach.

Muhseen Ziyad Tariq ZT Li Guanglin G

Molecules (Basel, Switzerland) 20191230 1

Overexpression of murine double minute 2 (MDM2) results in the inactivation of p53 and causes cancer which is a leading cause of death in recent era. In recent decades, much attention has been paid to discover potential inhibitors against MDM2 in order to cure cancer. Outcomes from studies proposes that the MDM2 is a hot target to screen potent antagonists. Thus, this study aims at discovering natural compounds using several computational approaches to inhibit the MDM2 and to eliminate p53-MDM2 ...[more]

PMID: 31906032

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Project description:Background:Ebola viral disease is a severe and mostly fatal disease in humans caused by Ebola virus. This virus belongs to family Filoviridae and is a single-stranded negative-sense virus. There is no single treatment for this disease which puts forth the need to identify new therapy to control and treat this fatal condition. Curcumin, one of the bioactives of turmeric, has proven antiviral property. Objective:The current study evaluates the inhibitory activity of curcumin, bisdemethoxycurcumin, demethoxycurcumin, and tetrahydrocurcumin against Zaire Ebola viral proteins (VPs). Materials and Methods:Molecular simulation of the Ebola VPs followed by docking studies with ligands comprising curcumin and related compounds was performed. Results:The highest binding activity for VP40 is -6.3 kcal/mol, VP35 is -8.3 kcal/mol, VP30 is -8.0 kcal/mol, VP24 is -7.7 kcal/mol, glycoprotein is -7.1 kcal/mol, and nucleoprotein is 6.8 kcal/mol. Conclusion:Bisdemethoxycurcumin shows better binding affinity than curcumin for most VPs. Metabolite tetrahydrocurcumin also shows binding affinity comparable to curcumin. These results indicate that curcumin, curcuminoids, and metabolite tetrahydrocurcumin can be potential lead compounds for developing a new therapy for Ebola viral disease. SUMMARY:Curcumin, bisdemethoxycurcumin, and demethoxycurcumin are active constituents of turmeric. Tetrahydrocurcumin is the major metabolite of curcumin formed in the body after consumption and absorption of curcuminoidsCurcuminoids have proven antiviral activityBisdemethoxycurcumin showed maximum inhibition of Ebola viral proteins (VPs) among the curcuminoids in the docking procedure with a docking score as high as -8.3 kcal/molTetrahydrocurcumin showed inhibitory activity against Ebola VPs close to that of curcumin's inhibitory action. Abbreviations Used: EBOV: Ebola virus, GP: Glycoprotein, NP: Nucleoprotein, NPT: Isothermal-isobaric Ensemble, amount of substance (N), pressure (P) and temperature (T) conserved, NVE: Canonical ensemble, amount of substance (N), volume (V) and temperature (T) conserved, VP: Viral protein.

Dataset Information

Promising Terpenes as Natural Antagonists of Cancer: An In-Silico Approach.

Publications

Promising Terpenes as Natural Antagonists of Cancer: An In-Silico Approach.

Similar Datasets

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