Structure-based pharmacophore mapping and virtual screening of natural products to identify polypharmacological inhibitor against c-MET/EGFR/VEGFR-2

被引:12
作者
Varma, Diksha A. [1 ]
Singh, Mrityunjay [2 ,3 ]
Wakode, Sharad [3 ]
Dinesh, N. E. [1 ]
Vinaik, Simran [1 ]
Asthana, Shailendra [2 ]
Tiwari, Manisha [1 ]
机构
[1] Univ Delhi, Dr BR Ambedkar Ctr Biomed Res, New Delhi, India
[2] Translat Hlth Sci & Technol Inst, Noncommunicable Dis, Faridabad, India
[3] DPSRU, Delhi Inst Pharmaceut Sci & Res, Pharmaceut Chem, New Delhi, India
关键词
Cancer; Pharmacophore modeling; c-MET; EGFR; VEGFR; Virtual screening; Cedeodarin; TYROSINE KINASE INHIBITOR; GROWTH-FACTOR RECEPTOR; MOLECULAR DOCKING; CANCER; MET; DISCOVERY; DOMAIN; PHYTOCHEMICALS; IDENTIFICATION; COMBINATION;
D O I
10.1080/07391102.2022.2042388
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
Three receptor tyrosine kinases (RTKs), c-MET, EGFR, and VEGFR-2 have been identified as potential oncogenic targets involved in tumor development, metastasis, and invasion. Designing inhibitors that can simultaneously interact with multiple targets is a promising approach, therefore, inhibiting these three RTKs with a single chemical component might give an effective chemotherapeutic strategy for addressing the disease while limiting adverse effects. The in-silico methods have been developed to identify the polypharmacological inhibitors particularly for drug repurposing and multitarget drug design. Here, to find a viable inhibitor from natural source against these three RTKs, structure-based pharmacophore mapping and virtual screening of SN-II database were carried out. The filtered compound SN00020821, identified as Cedeodarin, from different computational approaches, demonstrated good interactions with all the three targets, c-MET/EGFR/VEGFR-2, with interaction energies of -42.35 kcal/mol, -49.32 kcal/mol and -44.83 kcal/mol, respectively. SN00020821displayed stable key interactions with critical amino acids of all the three receptors' kinase catalytic domains including "DFG motif" explored through the MD simulations. Furthermore, it also met the ADMET requirements and was determined to be drug-like as predicted from the Lipinski's rule of five and Veber's rule. Finally, SN00020821 provides a novel molecular scaffold that could be investigated further as a polypharmacological anticancer therapeutic candidate that targets the three RTKs. Communicated by Ramaswamy H. Sarma
引用
收藏
页码:2956 / 2970
页数:15
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