Abstract

The protein γ-tubulin plays an important role in centrosomal clustering and this makes it an attractive therapeutic target for treating cancers. Griseofulvin, an antifungal drug, has recently been used to inhibit proliferation of various types of cancer cells. It can also affect the microtubule dynamics by targeting the γ-tubulin protein. So far, the binding pockets of γ-tubulin protein are not properly identified and the exact mechanism by which the drug binds to it is an area of intense speculation and research. The aim of the present study is to investigate the binding mechanism and binding affinity of griseofulvin on γ-tubulin protein using classical molecular dynamics simulations. Since the drug griseofulvin is sparingly soluble in water, here we also present a promising approach for formulating and achieving delivery of hydrophobic griseofulvin drug via hydrotrope sodium cumene sulfonate (SCS) cluster. We observe that the binding pockets of γ-tubulin protein are mainly formed by the H8, H9 helices and S7, S8, S14 strands and the hydrophobic interactions between the drug and γ-tubulin protein drive the binding process. The release of the drug griseofulvin from the SCS cluster is confirmed by the coordination number analysis. We also find hydrotrope-induced alteration of the binding sites of γ-tubulin protein and the weakening of the drug-protein interactions.

Highlights

  • Cancer is defined as a group of diseases involving uncontrolled cell growth and the spread of cells that can affect to any other part of the body [1]

  • It can be seen that the Root mean square deviation (RMSD) of γ-tubulin in pure aqueous system (P0) is almost similar with that of drug containing systems without sodium cumene sulfonate (SCS) molecules, which indicates that the conformations of γ-tubulin in systems P1-P3 are almost similar to that for system P0

  • We have investigated the drug binding ability and drug binding mechanism of γ-tubulin protein in presence and in absence of hydrotrope molecules using all atom molecular dynamics (MD) simulations

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Summary

Introduction

Cancer is defined as a group of diseases involving uncontrolled cell growth and the spread of cells that can affect to any other part of the body [1]. In recent times this disease spreads universally and it has appeared as one of the most dreaded miseries. Cancer causes about millions of death in every years. According to the world cancer report, around 14.1 million new cases of cancer arise worldwide [3]. As per the report of GLO-BOCAN, by 2030, the global burden is expected to grow to 21 million new cancer cases [4]

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