In Silico Screening Identifies a Novel Potential PARP1 Inhibitor Targeting Synthetic Lethality in Cancer Treatment

Area of Science:

• Biochemistry
• Computational Chemistry
• Oncology

Background:

• Synthetic lethality is a key concept in cancer drug development, particularly for Poly (ADP-ribose) polymerase (PARP) inhibitors.
• PARP inhibitors exploit synthetic lethality to target cancer cells with specific DNA repair deficiencies.

Purpose of the Study:

• To identify novel PARP inhibitors through computational screening.
• To evaluate the potential of a natural product, ZINC67913374, as a PARP1 inhibitor.

Main Methods:

• Computational screening of 11,247 compounds.
• Molecular docking simulations to assess binding affinity and scores (grid and amber).
• Molecular dynamics simulations to evaluate complex stability and binding free energy.

Main Results:

• ZINC67913374 demonstrated superior performance compared to olaparib in computational analyses.
• The compound achieved better grid (-86.8) and amber (-51.42) scores than olaparib.
• Molecular dynamics simulations indicated a more stable PARP1-ZINC67913374 complex with higher binding affinity (-177.28 kJ/mol vs. -159.16 kJ/mol for olaparib).

Conclusions:

• ZINC67913374 exhibits higher affinity for PARP1 than olaparib.
• This natural compound shows promising potential for the development of new cancer therapeutics targeting PARP.