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DFT and molecular simulation validation of the binding activity of PDEδ inhibitors for repression of oncogenic k-Ras
Taghreed A Majrashi1, Ahmed Sabt2, Hadia Almahli3
1Department of Pharmacognosy, College of Pharmacy, King Khalid University, Asir, Saudi Arabia.
Abstract:
The development of effective drugs targeting the K-Ras oncogene product is a significant focus in anticancer drug development. Despite the lack of successful Ras signaling inhibitors, recent research has identified PDEδ, a KRAS transporter, as a potential target for inhibiting the oncogenic KRAS signaling pathway. This study aims to investigate the interactions between eight K-Ras inhibitors (deltarazine, deltaflexin 1 and 2, and its analogues) and PDEδ to understand their binding modes. The research will utilize computational techniques such as density functional theory (DFT) and molecular electrostatic surface potential (MESP), molecular docking, binding site analyses, molecular dynamic (MD) simulations, electronic structure computations, and predictions of the binding free energy. Molecular dynamic simulations (MD) will be used to predict the binding conformations and pharmacophoric features in the active site of PDEδ for the examined structures. The binding free energies determined using the MMPB(GB)SA method will be compared with the observed potency values of the tested compounds. This computational approach aims to enhance understanding of the PDEδ selective mechanism, which could contribute to the development of novel selective inhibitors for K-Ras signaling.
Insights
Researchers explored K-Ras inhibitors and their interaction with PDEδ, a KRAS transporter. Computational methods revealed binding modes, aiding the development of novel anticancer drugs targeting K-Ras signaling.
Area of Science:
- Oncology
- Computational Chemistry
- Structural Biology
Background:
- Targeting the K-Ras oncogene is crucial for anticancer drug development.
- PDEδ, a KRAS transporter, is a promising target for inhibiting oncogenic KRAS signaling.
- Existing Ras signaling inhibitors have shown limited success.
Purpose of the Study:
- To investigate the binding interactions between eight K-Ras inhibitors and PDEδ.
- To understand the binding modes and mechanisms of PDEδ selective inhibition.
- To computationally predict the efficacy of K-Ras inhibitors.
Main Methods:
- Density Functional Theory (DFT)
- Molecular Electrostatic Surface Potential (MESP)
- Molecular docking and binding site analyses
- Molecular Dynamic (MD) simulations
- Binding free energy predictions (MMPB(GB)SA)
Main Results:
- Detailed binding conformations and pharmacophoric features of inhibitors within the PDEδ active site were predicted.
- Computational predictions of binding free energies were correlated with observed compound potency.
- Understanding of the PDEδ selective inhibition mechanism was enhanced.
Conclusions:
- Computational approaches provide valuable insights into K-Ras inhibitor-PDEδ interactions.
- This study contributes to the rational design of novel, selective PDEδ inhibitors for K-Ras targeted cancer therapy.
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