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Free Energy Calculation Provides Insight into the Action Mechanism of Selective PARP-1 Inhibitor

Overview
Journal J Mol Model
Publisher Springer
Specialty Molecular Biology
Date 2016 Mar 13
PMID 26969680
Citations 1
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Abstract

Selective poly (ADP-ribose) polymerase (PARP)-1 inhibitor represents promising therapy against cancers with a good balance between efficacy and safety. Owing to the conserved structure between PARP-1 and PARP-2, most of the clinical and experimental drugs show equivalent inhibition against both targets. Most recently, it's disclosed a highly selective PARP-1 inhibitor (NMS-P118) with promising pharmacokinetic properties. Herein, we combined molecular simulation with free energy calculation to gain insights into the selective mechanism of NMS-P118. Our results suggest the reduction of binding affinity for PARP-2 is attributed to the unfavorable conformational change of protein, which is accompanied by a significant energy penalty. Alanine-scanning mutagenesis study further reveals the important role for a tyrosine residue of donor loop (Tyr889(PARP-1) and Tyr455(PARP-2)) in contributing to the ligand selectivity. Retrospective structural analysis indicates the ligand-induced movement of Tyr455(PARP-2) disrupts the intra-molecule hydrogen bonding network, which partially accounts for the "high-energy" protein conformation in the presence of NMS-P118. Interestingly, such effect isn't observed in other non-selective PARP inhibitors including BMN673 and A861695, which validates the computational prediction. Our work provides energetic insight into the subtle variations in the crystal structures and could facilitate rational design of new selective PARP inhibitor.

Citing Articles

PARP inhibitors in gastric cancer: beacon of hope.

Wang Y, Zheng K, Huang Y, Xiong H, Su J, Chen R J Exp Clin Cancer Res. 2021; 40(1):211.

PMID: 34167572 PMC: 8228511. DOI: 10.1186/s13046-021-02005-6.

References
1.
Jacobson M, Pincus D, Rapp C, Day T, Honig B, Shaw D . A hierarchical approach to all-atom protein loop prediction. Proteins. 2004; 55(2):351-67. DOI: 10.1002/prot.10613. View

2.
Cao R, Huang N, Wang Y . Evaluation and application of MD-PB/SA in structure-based hierarchical virtual screening. J Chem Inf Model. 2014; 54(7):1987-96. DOI: 10.1021/ci5003203. View

3.
Cao R, Wang Y . Predicting Molecular Targets for Small-Molecule Drugs with a Ligand-Based Interaction Fingerprint Approach. ChemMedChem. 2015; 11(12):1352-61. DOI: 10.1002/cmdc.201500228. View

4.
Papeo G, Avanzi N, Bettoni S, Leone A, Paolucci M, Perego R . Insights into PARP Inhibitors' Selectivity Using Fluorescence Polarization and Surface Plasmon Resonance Binding Assays. J Biomol Screen. 2014; 19(8):1212-9. DOI: 10.1177/1087057114538319. View

5.
Farres J, Llacuna L, Martin-Caballero J, Martinez C, Lozano J, Ampurdanes C . PARP-2 sustains erythropoiesis in mice by limiting replicative stress in erythroid progenitors. Cell Death Differ. 2014; 22(7):1144-57. PMC: 4568570. DOI: 10.1038/cdd.2014.202. View