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Structure-based drug designing against Leishmania donovani using docking and molecular dynamics simulation studies: exploring glutathione synthetase as a drug target.
Sarma, Manash; Borkotoky, Subhomoi; Dubey, Vikash Kumar.
Affiliation
  • Sarma M; School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
  • Borkotoky S; School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
  • Dubey VK; School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
J Biomol Struct Dyn ; : 1-9, 2023 Jul 25.
Article de En | MEDLINE | ID: mdl-37491862
ABSTRACT
In the pursuit of developing novel anti-leishmanial agents, we conducted an extensive computational study to screen inhibitors from the FDA-approved ZINC database against Leishmania donovani glutathione synthetase. The three-dimensional structure of Leishmania donovani glutathione synthetase was constructed by homology modeling, using the crystallographic structure of Trypanosoma brucei glutathione synthetase as a template. Subsequently, molecular docking studies were carried out for a large number of compounds using AutoDock Vina. Among the screened compounds, we selected the top five with strong binding affinity to Leishmania donovani glutathione synthetase but having a very low affinity to its human homolog. Further investigations on protein-ligand complexes were done by conducting molecular dynamics (MD) simulation and MM/PBSA analysis. The results revealed that Olysio (Simeprevir) exhibited the lowest binding energy (-89.21 kcal/mol), followed by Telithromycin (-45.34 kcal/mol). These findings showed that these compounds have the potential to act as inhibitors of glutathione synthetase. Hence, our study provides valuable insights for the development of a novel therapeutic strategy against Leishmania donovani by targeting the glutathione synthetase enzyme.Communicated by Ramaswamy H. Sarma.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: J Biomol Struct Dyn Année: 2023 Type de document: Article Pays d'affiliation: Inde

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: J Biomol Struct Dyn Année: 2023 Type de document: Article Pays d'affiliation: Inde