Leveraging shape screening and molecular dynamics simulations to optimize PARP1-Specific chemo/radio-potentiators for

Hifza Khizer1, Arooma Maryam2, Adnan Ansari1

  • 1National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.

Insights

Researchers identified novel PARP1 inhibitors with high selectivity, crucial for developing targeted cancer therapies. This discovery aids in creating drugs that specifically target PARP1, minimizing side effects associated with inhibiting PARP2 and PARP3.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • Poly (ADP-ribose) polymerase 1 (PARP1) is vital for DNA repair via the base excision pathway.
  • PARP1 is a key therapeutic target in cancers with BRCA mutations.
  • Concurrent inhibition of PARP1, PARP2, and PARP3 can disrupt cellular functions and immune responses.

Purpose of the Study:

  • To discover novel PARP inhibitors with enhanced selectivity for PARP1.
  • To understand the molecular interactions driving PARP1 specificity.

Main Methods:

  • Screened 593 million compounds using shape-based screening.
  • Employed hierarchical docking, MMGBSA, molecular dynamics (MD) simulations, and hydrogen bond frequency analysis.
  • Utilized Schrödinger suite for computational analysis.

Main Results:

  • Identified specific compounds (e.g., ZINC001258189808, ZINC000092332196) with high affinity for PARP1.
  • Pinpointed key active site residues (H862, G863, R878, M890, Y896, F897) crucial for PARP1-specific binding.
  • Observed differential interactions with PARP2 and PARP3, confirming PARP1 selectivity.

Conclusions:

  • The study advances the understanding of PARP1-specific inhibitors.
  • Identified novel compounds with potential for targeted cancer therapeutics.
  • The computational approach facilitates the development of selective PARP1 inhibitors.

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