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Naturally Occurring Plant-Based Anticancerous Candidates as Potential ERK2 Inhibitors: In-Silico Database Mining and Molecular Dynamics Simulations
被引:0
作者:
Ibrahim, Mahmoud A. A.
[1
,2
]
Ali, Sara S. M.
[1
]
Abdelrahman, Alaa H. M.
[1
]
Abdeljawaad, Khlood A. A.
[1
]
Sidhom, Peter A.
[3
]
Sayed, Shaban R. M.
[4
]
El-Tayeb, Mohamed A.
[4
]
Pare, Paul W.
[5
]
Hegazy, Mohamed-Elamir F.
[6
]
机构:
[1] Minia Univ, Fac Sci, Chem Dept, Computat Chem Lab, Al Minya 61519, Egypt
[2] Univ KwaZulu Natal, Sch Hlth Sci, Westville Campus, ZA-4000 Durban, South Africa
[3] Tanta Univ, Fac Pharm, Dept Pharmaceut Chem, Tanta 31527, Egypt
[4] King Saud Univ, Coll Sci, Dept Bot & Microbiol, PO Box 2455, Riyadh 11451, Saudi Arabia
[5] Texas Tech Univ, Dept Chem & Biochem, Lubbock, TX 79409 USA
[6] Johannes Gutenberg Univ Mainz, Inst Pharmaceut & Biomed Sci, Dept Pharmaceut Biol, Staudinger Weg 5, D-55128 Mainz, Germany
关键词:
Extracellular signal-regulated kinase 2 (ERK2);
anticancer drug;
NPACT database;
database mining;
molecular dynamics simulation;
DRUG DISCOVERY;
SIGNALING PATHWAY;
KINASES;
CANCER;
IDENTIFICATION;
PERFORMANCE;
FLAVONOIDS;
ACCURACY;
PRODUCTS;
MAPK;
D O I:
10.1002/cbdv.202401238
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
The evolutionarily conserved extracellular signal-regulated kinase 2 (ERK2) is involved in regulating cellular signaling in both normal and pathological conditions. ERK2 expression is critical for human development, while hyperactivation is a major factor in tumor progression. Up to now, there have been no approved inhibitors that target ERK2, and as such, here we report on screening of a naturally occurring plant-based anticancerous compound-activity-target (NPACT) database for prospective ERK2 inhibitors. More than 1,500 phytochemicals were screened using in-silico molecular docking and molecular dynamics (MD) approaches. NPACT compounds with a docking score lower than a co-crystallized LHZ inhibitor (calc. -10.5 kcal/mol) were subjected to MD simulations. Binding energies (Delta Gbinding) of inhibitor-ERK2 complexes over the MD course were estimated using an MM-GBSA approach. Based on MM-GBSA//100 ns MD simulations, the steroid zhankuic acid C (NPACT01034) demonstrated greater binding affinity against ERK2 protein than LHZ, with Delta Gbinding values of -50.0 and -47.7 kcal/mol, respectively. Structural and energetical analyses throughout the MD course demonstrated stabilization of zhankuic acid C complexed with ERK2 protein. The anticipated ADMET properties of zhankuic acid C indicated minimal toxicity. Moreover, in-silico evaluation of fourteen ERK2 inhibitors in clinical trials demonstrated the higher binding affinity of zhankuic acid C towards ERK2 protein.
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页数:15