Your browser doesn't support javascript.
loading
Identification of potential modulators for human GPD1 by docking-based virtual screening, molecular dynamics simulations, binding free energy calculations, and DeLA-drug analysis.
Hu, Anzheng; Chen, Hongwei; Pang, Wenwei; Pu, Xiaojie; Qi, Zhongquan; Chen, Haiyan.
Affiliation
  • Hu A; Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
  • Chen H; Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
  • Pang W; Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
  • Pu X; Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
  • Qi Z; Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China. zqqi@xmu.edu.cn.
  • Chen H; Guangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China. czyzsu@gxu.edu.cn.
Sci Rep ; 14(1): 14123, 2024 06 19.
Article in En | MEDLINE | ID: mdl-38898093
ABSTRACT
Cytosolic Glycerol-3-phosphate dehydrogenase 1 (GPD1, EC 1.1.1.8) plays a pivotal role in regulating the Embden-Meyerhof glucose glycolysis pathway (E-M pathway), as well as in conditions such as Huntington's disease, cancer, and its potential role as a specific marker for Dormant Glioma Stem Cells. In this study, we conducted virtual screening using the ZINC database ( http//zinc.docking.org/ ) and the GPD1 structure to identify potential GPD1 modulators. The investigation involved screening active candidate ligands using ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) parameters, combined with molecular docking, pose analysis, and interaction analysis based on Lipinski and Veber criteria. Subsequently, the top 10 ligands were subjected to 200 ns all-atom molecular dynamics (M.D.) simulations, and binding free energies were calculated. The findings revealed that specific residues, namely TRP14, PRO94, LYS120, ASN151, THR264, ASP260, and GLN298, played a crucial role in ensuring system stability. Furthermore, through a comprehensive analysis involving molecular docking, molecular M.D., and DeLA-Drug, we identified 10 promising small molecules. These molecules represent potential lead compounds for developing effective therapeutics targeting GPD1-associated diseases, thereby contributing to a deeper understanding of GPD1-associated mechanisms. This study's significance lies in identifying key residues associated with GPD1 and discovering valuable small molecules, providing a foundation for further research and development.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Molecular Dynamics Simulation / Molecular Docking Simulation / Glycerolphosphate Dehydrogenase Limits: Humans Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Molecular Dynamics Simulation / Molecular Docking Simulation / Glycerolphosphate Dehydrogenase Limits: Humans Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido