Publication: Virtual screening of small molecules databases for discovery of novel PARP-1 inhibitors: combination of in silico and in vitro studies
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Informa UK Limited
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Abstract
Poly(ADP-ribose) polymerase-1 (PARP-1) enzyme has critical roles in DNA replication repair and recombination. Thus, PARP-1 inhibitors play an important role in the cancer therapy. In the current study, we have performed combination of <i>in silico</i> and <i>in vitro</i> studies in order to discover novel inhibitors against PARP-1 target. Structure-based virtual screening was carried out for an available small molecules database. A total of 257,951 ligands from Otava database were screened at the binding pocket of PARP-1 using high-throughput virtual screening techniques. Filtered structures based on predicted binding energy results were then used in more sophisticated molecular docking simulations (i.e. Glide/standard precision, Glide/XP, induced fit docking – IFD, and quantum mechanics polarized ligand docking – QPLD). Potential high binding affinity compounds that are predicted by molecular simulations were then tested by <i>in vitro</i> methods. Computationally proposed compounds as PARP-1 inhibitors (Otava Compound Codes: 7111620047 and 7119980926) were confirmed by <i>in vitro</i> studies. <i>In vitro</i> results showed that compounds 7111620047 and 7119980926 have IC<sub>50</sub> values of 0.56 and 63 μM against PARP-1 target, respectively. The molecular mechanism analysis, free energy perturbation calculations using long multiple molecular dynamics simulations for the discovered compounds which showed high binding affinity against PARP-1 enzyme, as well as structure-based pharmacophore development (E-pharmacophore) studies were also studied.
Description
Journal or Series
Journal of Biomolecular Structure and Dynamics
ISSN
0739-1102
ISBN
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OPEN
Keywords
Optimization, Molecular Docking Simulations, Identification, In Vitro Colorimetric Assay, Design, Free Energy Perturbation Calculations, Poly (ADP-Ribose) Polymerase-1, PARP-1, In Vitro Techniques, Molecular Dynamics Simulation, Ligands, Docking, Small Molecule Libraries, User-Computer Interface, QM-Polarized Ligand Docking, Humans, Computer Simulation, Resistance-Modifying Agents, Enzyme Inhibitors, E-Pharmacophore, Poly(Adp-Ribose) Polymerase-1, High-Throughput Virtual Screening, Binding, Dynamics, High-Throughput Screening Assays, Molecular Docking Simulation, MM-PBSA, Potent, Molecular Dynamics (MD) Simulations, Biological Evaluation, Protein Binding