scholarly journals Simulation studies, 3D QSAR and molecular docking on a point mutation of protein kinase B with flavonoids targeting ovarian Cancer

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Suchitra Maheswari Ajjarapu ◽  
Apoorv Tiwari ◽  
Gohar Taj ◽  
Dev Bukhsh Singh ◽  
Sakshi Singh ◽  
...  

Abstract Background Ovarian cancer is the world’s dreaded disease and its prevalence is expanding globally. The study of integrated molecular networks is crucial for the basic mechanism of cancer cells and their progression. During the present investigation, we have examined different flavonoids that target protein kinases B (AKT1) protein which exerts their anticancer efficiency intriguing the role in cross-talk cell signalling, by metabolic processes through in-silico approaches. Method Molecular dynamics simulation (MDS) was performed to analyze and evaluate the stability of the complexes under physiological conditions and the results were congruent with molecular docking. This investigation revealed the effect of a point mutation (W80R), considered based on their frequency of occurrence, with AKT1 protein. Results The ligand with high docking scores and favourable behaviour on dynamic simulations are proposed as potential W80R inhibitors. A virtual screening analysis was performed with 12,000 flavonoids satisfying Lipinski’s rule of five according to which drug-likeness is predicted based on its pharmacological and biological properties to be active and taken orally. The pharmacokinetic ADME (adsorption, digestion, metabolism, and excretion) studies featured drug-likeness. Subsequently, a statistically significant 3D-QSAR model of high correlation coefficient (R2) with 0.822 and cross-validation coefficient (Q2) with 0.6132 at 4 component PLS (partial least square) were used to verify the accuracy of the models. Taxifolin holds good interactions with the binding domain of W80R, highest Glide score of − 9.63 kcal/mol with OH of GLU234 and H bond ASP274 and LEU156 amino acid residues and one pi-cation interaction and one hydrophobic bond with LYS276. Conclusion Natural compounds have always been a richest source of active compounds with a wide variety of structures, therefore, these compounds showed a special inspiration for medical chemists. The present study has aimed molecular docking and molecular dynamics simulation studies on taxifolin targeting W80R mutant protein of protein kinase B/serine- threonine kinase/AKT1 (EC:2.7.11.1) protein of ovarian cancer for designing therapeutic intervention. The expected result supported the molecular cause in a mutant form which resulted in a gain of ovarian cancer. Here we discussed validations computationally and yet experimental evaluation or in vivo studies are endorsed for further study. Several of these compounds should become the next marvels for early detection of ovarian cancer.

Author(s):  
Sisi Liu ◽  
Yaxin Li ◽  
Jin Wang ◽  
Xue Rui ◽  
Haobo Tian ◽  
...  

Background: Protein kinase B (Akt) is a serine/threonine-protein kinase that drives the diverse physiological process. Akt is a promising therapeutic target, which involves cancer cell growth, survival, proliferation and metabolism. Objective: The study aims to design highly active Akt inhibitors and to elucidate the structural requirements for their biological activity, we analyzed the key binding features and summarized the structural determinants for their bioactivities. Methods: A series of piperidine derivatives have been investigated employing three-dimensional quantitative structure-activity relationship (3D-QSAR), molecular docking and molecular dynamics simulation. Results: The statistics of the comparative molecular field analysis (CoMFA) model (Q2=0.631, R2=0.951) and the comparative molecular similarity index analysis (CoMSIA) model (Q2=0.663, R2=0.966) indicated that our 3D-QSAR model was accurate and reliable. Besides, the stability of receptor-ligand interactions under physiological conditions was then evaluated by molecular dynamics simulation, in agreement with the molecular docking results. Conclusion: Our study provided valuable insights for the discovery of potent Akt inhibitors.


2021 ◽  
Author(s):  
Suchitra Ajjarapu ◽  
Apoorv Tiwari ◽  
Gohar Taj ◽  
Dev Singh ◽  
Sakshi Singh ◽  
...  

Abstract Cancer is the world’s dreaded disease and its prevalence is expanding globally. The study of integrated molecular networks is crucial for the basic mechanism of cancer cells and its progression. During the present investigation we have examined different flavonoids that targets protein kinases B (AKT1) protein which exerts their anticancer efficiency intriguing the role in cross talk cell signalling, by metabolic processes through in-silico approaches. Molecular dynamics simulation (MDS) was performed to analyse and evaluate the stability of the complexes under physiological conditions and the results were congruent with molecular docking. This investigation revealed the effect of a point mutation (W80R), considered based on their frequency of occurrence, with AKT1. The ligand with high docking scores and favourable behaviour on dynamic simulations are proposed as potential W80R inhibitors. A virtual screening analysis was performed with 12000flavonoids satisfying the Lipinski’s rule of 5 according to which drug-likeness is predicted based on its pharmacological and biological properties to be active and taken orally. The pharmacokinetic ADME (adsorption, digestion, metabolism and excretion) studies featured drug likeness. Subsequently, a statistical significant 3D-QSAR model of high correlation coefficient (R2) with 0.992 and cross validation coefficient (Q2) with 0.6132 at 4 component PLS (partial least square) were used to verify accuracy of the models. The molecular dynamics simulation of this study showed that the compound is Taxifolin (I-UPAC namely2-(3,4-dihydroxyphenyl)-3,4 –dihydro-2H-chromene-5,7-diol of C15H14O5, of CID ID-443637 evidenced a better interaction with docking score (-9.63Kcal/mol) exhibited the binding affinity with W80R mutant protein thus reflecting that natural inhibitor can be considered for experimental evaluation which provides targeted insights for new combination of drugs in forming a network in pharmacology.


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