“Molecular Modeling and Identification of Inhibitors against Human Mitochondrial Thymidine Kinase 2”

Mahendran, Radha (2017) “Molecular Modeling and Identification of Inhibitors against Human Mitochondrial Thymidine Kinase 2”. Asian Journal of Pharmaceutical and Clinical Research, 10 (5). p. 103. ISSN 0974-2441

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Abstract

Objective:Mitochondrial disorders linked to Thymidine Kinase 2 (TK2) deficiency is associated to long term treatment with antiviral nucleoside analogues such as AZT (AZidoThymidine). The accumulation of AZT-TP (AZidoThymidine-TriPhosphate) is suggested to affect DNA polymerase, resulting in mtDNA (mitochondrial DNA) depletion. Thus a potent and selective inhibitor for TK2 is essential to be predicted.
Methods: The human mitochondrial TK2was modeled usingModeller and the structure was evaluated using Ramachandran plot. The ligand molecule of both the derivatives of deoxythymidine and thioureawere optimized usingChemsketch and were further docked using GLIDE Schrödinger package 2009.
Results: The docking results of both Deoxythymidine and Thiourea derivatives against the target TK2 were analyzed to find the ligands with good dock score and Glide energy. The ligands were selected and induced fit docking of both the derivatives were carried out and the interactions were observed usingPyMol.
Conclusion: The present study indicates that deoxythymidine derivatives interact significantly and hence serve as selective inhibitors against Human Mitochondrial TK2.

Item Type: Article
Subjects: Bioinformatics > Molecular Biology
Bioinformatics > Biology
Divisions: Bioinformatics
Depositing User: Mr IR Admin
Date Deposited: 06 Oct 2024 06:37
Last Modified: 06 Oct 2024 06:37
URI: https://ir.vistas.ac.in/id/eprint/8805

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