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Docking studies on DNA intercalators.

Yocheved Gilad1, Hanoch Senderowitz

  • 1Department of Chemistry, Bar Ilan University , Ramat-Gan 52900, Israel.

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|December 6, 2013
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Summary
This summary is machine-generated.

This study analyzes DNA-intercalator complexes, finding preferred binding sites and evaluating AUTODOCK

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Area of Science:

  • Computational chemistry and structural biology
  • Drug discovery and medicinal chemistry

Background:

  • DNA is a crucial target for cancer therapy, with DNA intercalators being significant anticancer agents.
  • Limited systematic computational studies exist for DNA-intercalator complexes, hindering drug development.
  • Understanding ligand binding preferences and computational docking accuracy is vital for designing novel therapeutics.

Purpose of the Study:

  • To analyze ligand binding site preferences in DNA-intercalator complexes from the Protein Data Bank (PDB).
  • To assess the accuracy of AUTODOCK for docking ligands into DNA intercalation sites.
  • To identify factors influencing successful docking and explore methods for creating intercalation sites in canonical DNA.

Main Methods:

  • Analysis of 63 high-resolution DNA-intercalator complexes from the PDB to determine binding site preferences.
  • Optimization and evaluation of AUTODOCK for docking ligands into preformed and de novo DNA intercalation sites.
  • Utilized small and large grid boxes for docking simulations and employed energy minimization/molecular dynamics for site creation.

Main Results:

  • Ligands preferentially bind between Guanine-Cytosine (G-C) and Cytosine-Adenine (C-A) base pairs (70% and 11%).
  • Optimized AUTODOCK achieved RMSD < 2.00 Å in ~80% of cases for preformed sites, with top-ranked poses successful in 75% (small box) and 60% (large box).
  • AUTODOCK showed potential scoring issues and overemphasis on hydrogen bonding; docking accuracy improved for ligands with more aromatic rings, low flexibility, high molecular weight, and fewer hydrogen bond acceptors.

Conclusions:

  • AUTODOCK can accurately dock ligands into DNA intercalation sites, particularly with optimized protocols and specific ligand characteristics.
  • The study identified key ligand properties for successful docking and potential limitations in AUTODOCK's scoring function.
  • Methods for creating intercalation sites in canonical B-DNA were demonstrated, enabling computational studies where sites are not preformed.