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Analysis of Pleurotin binding to human thioredoxin reductase using docking and molecular dynamics simulation
Daniel B Quintanilha1, Hélio F Dos Santos1
1NEQC: Núcleo de Estudos em Química Computacional, Departamento de Química, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
Pleurotin, a natural compound from Hohenbuehelia grisea fungus, shows potential as a thioredoxin reductase (TrxR) inhibitor. This discovery offers a new avenue for cancer chemotherapy by targeting cellular redox homeostasis.
Area of Science:
- Biochemistry
- Molecular Biology
- Pharmacology
Background:
- Thioredoxin reductase (TrxR) is crucial for cellular redox homeostasis and a potential target for cancer chemotherapy.
- Interfering with TrxR function can induce apoptosis, a key tumor suppression mechanism.
- Despite extensive research, no TrxR inhibitors have been approved for human therapy.
Purpose of the Study:
- To identify novel natural organic compounds as potential TrxR inhibitors through virtual screening.
- To investigate the binding mechanism and allosteric effects of identified inhibitors.
- To provide quantitative insights into ligand-receptor interactions using molecular dynamics.
Main Methods:
- Virtual screening of 72 natural organic compounds with known IC-50 values for TrxR inhibition.
- Molecular docking to predict binding modes and interactions within the TrxR active site.
- Long molecular dynamics simulations to analyze binding energies and conformational changes.
Main Results:
- Pleurotin, a naphthoquinone from Hohenbuehelia grisea, was identified as a promising TrxR inhibitor.
- Pleurotin binds to the TrxR active site, hindering essential conformational changes required for enzyme function.
- Simultaneous docking revealed allosteric correlation between the two binding sites, where one ligand can impede the binding of another.
Conclusions:
- Pleurotin represents a potential lead compound for developing new cancer therapeutics targeting TrxR.
- Understanding the allosteric interactions of TrxR inhibitors is crucial for drug design.
- Molecular dynamics simulations offer a comprehensive approach to characterizing ligand-enzyme interactions.
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