| Literature DB >> 30746758 |
Garima Tanwar1,2, Rituraj Purohit1,2,3.
Abstract
Aurora A is a mitotic serine/threonine kinase protein that is a proposed target of the first-line anticancer drug design. It has been found to be overexpressed in many human cancer cells, including hematological, breast, and colorectal. Here, we focus on a particular somatic mutant S155R of Aurora kinase A protein, whose activity decreases because of loss of interaction with a TPX2 protein that results in ectopic expression of the Aurora kinase A protein, which contributes chromosome instability, centrosome amplification, and oncogenic transformation. The primary target of this study is to select a drug molecule whose binding results in gaining S155R mutant interaction with TPX2. The computational methodology applied in this study involves mapping of hotspots (for uncompetitive binding), virtual screening, protein-ligand docking, postdocking optimization, and protein-protein docking approach. In this study, we screen and validate ZINC968264, which acts as a potential molecule that can improve the loss of function occurred because of mutation (S155R) in Aurora A. Our approaches pave a suitable path to design a potential drug against physiological condition manifested because of S155R mutant in Aurora A.Entities:
Keywords: Aurora A; S155R mutant; TPX2; computational mapping; hotspots; protein-protein docking; virtual screening
Year: 2019 PMID: 30746758 DOI: 10.1002/jcb.28387
Source DB: PubMed Journal: J Cell Biochem ISSN: 0730-2312 Impact factor: 4.429