Identification of novel protein kinase C-βII inhibitors: virtual screening, molecular docking and molecular dynamics simulation studies

被引:5
|
作者
Sanapalli, Bharat Kumar Reddy [1 ]
Yele, Vidyasrilekha [2 ]
Baldaniya, Lalji [3 ]
Karri, Veera Venkata Satyanarayana Reddy [4 ]
机构
[1] Marwadi Univ, Fac Pharm, Dept Pharmacol, Rajkot 360003, Gujarat, India
[2] Marwadi Univ, Fac Pharm, Dept Pharmaceut Chem, Rajkot 360003, Gujarat, India
[3] Marwadi Univ, Fac Pharm, Dept Pharmaceut, Rajkot 360003, Gujarat, India
[4] JSS Acad Higher Educ & Res, JSS Coll Pharm, Dept Pharmaceut, Ooty 643001, Tamil Nadu, India
关键词
Diabetic wound; Protein kinase C-beta II; Receptor-based virtual screening; Molecular docking; ADMET calculations; Molecular dynamics simulation studies; MYOCARDIAL-INFARCTION; ACCURATE DOCKING; ANGIOGENESIS; GLIDE; MODEL; CHALLENGES; DISCOVERY; NETOSIS;
D O I
10.1007/s00894-022-05104-z
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
Diabetic wounds (DWs) are the major end-stage manifestation encountered in diabetic patients. The two major pathways involved in the pathogenesis of DW are impaired angiogenesis and unnecessary NETosis, which are regulated by a common enzyme called protein kinase C (PKC)-beta II. PKC-beta II is a conventional isoform of PKC family that can be activated by calcium and diacylglycerol. PKC-beta II possesses a specific expression profile and plays a distinct role in various cellular and molecular functions. The pathogenic role of PKC-beta II and its involvement in the impairment of wound healing suggested that PKC-beta II plays a potential role in DW progression. Hence, there is a renewed interest in developing specific inhibitors of PKC-beta II. In the present study, receptor-based virtual screening was performed for the identification of potential PKC-beta II inhibitors using TimTec, Enamine, Zinc and Specs databases. A total of 595 candidate compounds were evaluated based on absorption, distribution, metabolism, excretion and toxicity, standard precision docking. Further, extra-precision docking and binding free energy calculations were carried out for top-ranked compounds. Based on Glide score and protein-ligand interactions, we have identified compound 1 as a potential inhibitor. Finally, molecular dynamics (MD) simulation was performed for top compound 1 using the Desmond module (Schrodinger suite) to identify the structural stability of the protein-ligand complex. Gratifyingly, MD trajectory analysis demonstrated the stable binding conformation of compound 1 with PKC-beta II enzyme. In silico approaches incorporated in this study provide a set of new putative PKC-beta II inhibitors which could be potential leads to develop DW therapeutics.
引用
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页数:11
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