Literature DB >> 30488773

Binding mechanism of caffeic acid and simvastatin to the integrin linked kinase for therapeutic implications: a comparative docking and MD simulation studies.

Mehak Gulzar1, Shahid Ali2, Faez Iqbal Khan3, Parvez Khan4, Pankaj Taneja1, Md Imtaiyaz Hassan4.   

Abstract

Integrin linked kinase (ILK) is a Ser/Thr kinase, which regulates various integrin mediated signaling pathways, and is involved in cell adhesion, migration and differentiation. Alteration in the ILK is responsible for abnormal functioning of the cell system, which may lead to the cancer progression and metastasis. Caffeic acid (CA) and simvastatin are used as antioxidant and possess anticancer properties. Thus, inhibiting the kinase activity of ILK by CA and simvastatin may be implicated in the cancer therapy. In this study, we have performed molecular docking followed by 100 ns MD simulations to understand the interaction mechanism of ILK protein with the CA and simvastatin. Average potential energy was found to be highest in case of ILK-CA complex (-770,949 kJ/mol). Binding free energy was found to be higher in case of simvastatin than CA. Our results indicate that simvastatin binds more effectively to the active pocket of ILK. We further performed MTT assay to understand its anticancer potential. Simvastatin shows the IC50 values for HepG2 and MCF-7 as 19.18 ± 0.12 and 13.84 ± 0.22 µM, respectively. However, the IC50 value of CA on HepG2 and MCF-7 was reported as 175.50 ± 1.44 and 144.90 ± 1.53 µM, respectively. Our study provides a deeper insight into the binding mechanism of simvastatin and CA to ILK, which further opens a promising channel for their implications in cancer therapy.

Entities:  

Keywords:  Integrin-linked kinase; caffeic acid; kinase inhibitor; simvastatin: MD simulation

Year:  2019        PMID: 30488773     DOI: 10.1080/07391102.2018.1546621

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  12 in total

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Journal:  Biomedicines       Date:  2020-05-14

5.  Identification of High-Affinity Inhibitors of Cyclin-Dependent Kinase 2 Towards Anticancer Therapy.

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6.  Identification of natural compounds as potent inhibitors of SARS-CoV-2 main protease using combined docking and molecular dynamics simulations.

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9.  Remdesivir Strongly Binds to RNA-Dependent RNA Polymerase, Membrane Protein, and Main Protease of SARS-CoV-2: Indication From Molecular Modeling and Simulations.

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10.  Insights into the Antibacterial Activity of Prolactin-Inducible Protein against the Standard and Environmental MDR Bacterial Strains.

Authors:  Mohd Yousuf; Asghar Ali; Parvez Khan; Farah Anjum; Abdelbaset Mohamed Elasbali; Asimul Islam; Dharmendra Kumar Yadav; Alaa Shafie; Qazi Mohd Rizwanul Haque; Md Imtaiyaz Hassan
Journal:  Microorganisms       Date:  2022-03-09
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