4.6 Article

A lesson for the maestro of the replication fork: Targeting the protein-binding interface of proliferating cell nuclear antigen for anticancer therapy

期刊

JOURNAL OF CELLULAR BIOCHEMISTRY
卷 123, 期 6, 页码 1091-1102

出版社

WILEY
DOI: 10.1002/jcb.30265

关键词

free energy landscape; MM-PBSA; PCNA; steered MD simulations; umbrella sampling

资金

  1. Board of Research in Nuclear Sciences, Department of Atomic Energy, Mumbai, India [37(1)/14/26/2015/BRNS]
  2. CSIR [MLP0201, 0201]

向作者/读者索取更多资源

The proliferating cell nuclear antigen (PCNA) is a nononcogenic mediator of DNA replication that regulates cellular functions and pathways through protein-protein interactions. This study explores the binding modes and affinity of molecules with PCNA and identifies potential lead molecules to inhibit its protein-protein interactions.
The proliferating cell nuclear antigen (PCNA) has emerged as a promising candidate for the development of novel cancer therapeutics. PCNA is a nononcogenic mediator of DNA replication that regulates a diverse range of cellular functions and pathways through a comprehensive list of protein-protein interactions. The hydrophobic binding pocket on PCNA offers an opportunity for the development of inhibitors to target various types of cancers and modulate protein-protein interactions. In the present study, we explored the binding modes and affinity of molecule I1 (standard molecule) with the previously suggested dimer interface pocket and the hydrophobic pocket present on the frontal side of the PCNA monomer. We also identified potential lead molecules from the library of in-house synthesized 3-methylenisoindolin-1-one based molecules to inhibit the protein-protein interactions of PCNA. Our results were based on robust computational methods, including molecular docking, conventional, steered, and umbrella sampling molecular dynamics simulations. Our results suggested that the standard inhibitor I1 interacts with the hydrophobic pocket of PCNA with a higher affinity than the previously suggested binding site. Also, the proposed molecules showed better or comparable binding free energies as calculated by the Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) approach and further validated by enhanced umbrella sampling simulations. In vitro and in vivo methods could test the computationally suggested molecules for advancement in the drug discovery pipeline.

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