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Dynamic Behavior and Ligand Binding Properties of the Wild Type Deoxycytidine Kinase and its Characterized Gemcitabine-Resistant Variant: A Bioinformatics and Computational Study.

Authors :
Rahmati, Yasmin
Khalifeh, Khosrow
Heshmati, Emran
Source :
Journal of Computational Biophysics & Chemistry. Feb2024, Vol. 23 Issue 1, p25-34. 10p.
Publication Year :
2024

Abstract

The main challenge in using gemcitabine, a nucleoside analogue anti-cancer, includes resistance of some patients to this compound due to the genetic mutations on deoxycytidine kinase (dCK) that are found in a fraction of the human population. Here, we investigated the dynamics behavior and ligand binding properties of the wild type (WT) dCK and its characterized double mutant using a combination of bioinformatics tools and molecular dynamics (MD) simulation studies. Root-mean-square deviation (RMSD) values of the WT and mutant enzyme in complex with both ligands (deoxycytidine/gemcitabine) demonstrated that the WT enzyme forms a more stable complex with gemcitabine, as compared with its natural ligand (deoxycytidine). However, the stability of the double mutant-deoxycytidine complex is greater, when compared with gemcitabine. It was also found that Arg131 as a critical residue can affect the binding pattern of the enzyme to ligands in a manner that the WT enzyme can interact with both ligands, while, the mutant enzyme cannot establish efficient interaction with gemcitabine, and shows high affinity to deoxycytidine. These data together indicate that gemcitabine can interact with the WT enzyme in a competitive manner, while double mutant can be considered as a resistant variant against gemcitabine. The interaction of anti-cancer gemcitabine with deoxycytidine kinase (dCK) was compared with its natural analogue; deoxycytidine. The dynamics behavior of the representative drug-resistant mutant of deoxycytidine kinase (dCK) was investigated in comparison with the wild type enzyme. The results of this study explain the mechanism of resistance of resistant variant against gemcitabine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27374165
Volume :
23
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Computational Biophysics & Chemistry
Publication Type :
Academic Journal
Accession number :
174758084
Full Text :
https://doi.org/10.1142/S2737416523500485