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Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods

BACKGROUND: Research has shown that Poly-ADP-ribose polymerases 1 (PARP-1) is a potential therapeutic target in the clinical treatment of breast cancer. An increasing number of studies have focused on the development of highly selective inhibitors that target PARP-1 over PARP-2, its closest isoform,...

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Autores principales: Hu, Hongye, Chen, Buran, Zheng, Danni, Huang, Guanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255342/
https://www.ncbi.nlm.nih.gov/pubmed/32509471
http://dx.doi.org/10.7717/peerj.9241
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author Hu, Hongye
Chen, Buran
Zheng, Danni
Huang, Guanli
author_facet Hu, Hongye
Chen, Buran
Zheng, Danni
Huang, Guanli
author_sort Hu, Hongye
collection PubMed
description BACKGROUND: Research has shown that Poly-ADP-ribose polymerases 1 (PARP-1) is a potential therapeutic target in the clinical treatment of breast cancer. An increasing number of studies have focused on the development of highly selective inhibitors that target PARP-1 over PARP-2, its closest isoform, to mitigate potential side effects. However, due to the highly conserved and similar binding sites of PARP-1 and PARP-2, there is a huge challenge for the discovery and design of PARP-1 inhibitors. Recently, it was reported that a potent PARP-1 inhibitor named NMS-P118 exhibited greater selectivity to PARP-1 over PARP-2 compared with a previously reported drug (Niraparib). However, the mechanisms underlying the effect of this inhibitor remains unclear. METHODS: In the present study, classical molecular dynamics (MD) simulations and accelerated molecular dynamics (aMD) simulations combined with structural and energetic analysis were used to investigate the structural dynamics and selective mechanisms of PARP-1 and PARP-2 that are bound to NMS-P118 and Niraparib with distinct selectivity. RESULTS: The results from classical MD simulations indicated that the selectivity of inhibitors may be controlled by electrostatic interactions, which were mainly due to the residues of Gln-322, Ser-328, Glu-335, and Tyr-455 in helix αF. The energetic differences were corroborated by the results from aMD simulations. CONCLUSION: This study provides new insights about how inhibitors specifically bind to PARP-1 over PARP-2, which may help facilitate the design of highly selective PARP-1 inhibitors in the future.
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spelling pubmed-72553422020-06-05 Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods Hu, Hongye Chen, Buran Zheng, Danni Huang, Guanli PeerJ Molecular Biology BACKGROUND: Research has shown that Poly-ADP-ribose polymerases 1 (PARP-1) is a potential therapeutic target in the clinical treatment of breast cancer. An increasing number of studies have focused on the development of highly selective inhibitors that target PARP-1 over PARP-2, its closest isoform, to mitigate potential side effects. However, due to the highly conserved and similar binding sites of PARP-1 and PARP-2, there is a huge challenge for the discovery and design of PARP-1 inhibitors. Recently, it was reported that a potent PARP-1 inhibitor named NMS-P118 exhibited greater selectivity to PARP-1 over PARP-2 compared with a previously reported drug (Niraparib). However, the mechanisms underlying the effect of this inhibitor remains unclear. METHODS: In the present study, classical molecular dynamics (MD) simulations and accelerated molecular dynamics (aMD) simulations combined with structural and energetic analysis were used to investigate the structural dynamics and selective mechanisms of PARP-1 and PARP-2 that are bound to NMS-P118 and Niraparib with distinct selectivity. RESULTS: The results from classical MD simulations indicated that the selectivity of inhibitors may be controlled by electrostatic interactions, which were mainly due to the residues of Gln-322, Ser-328, Glu-335, and Tyr-455 in helix αF. The energetic differences were corroborated by the results from aMD simulations. CONCLUSION: This study provides new insights about how inhibitors specifically bind to PARP-1 over PARP-2, which may help facilitate the design of highly selective PARP-1 inhibitors in the future. PeerJ Inc. 2020-05-25 /pmc/articles/PMC7255342/ /pubmed/32509471 http://dx.doi.org/10.7717/peerj.9241 Text en ©2020 Hu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Molecular Biology
Hu, Hongye
Chen, Buran
Zheng, Danni
Huang, Guanli
Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods
title Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods
title_full Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods
title_fullStr Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods
title_full_unstemmed Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods
title_short Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods
title_sort revealing the selective mechanisms of inhibitors to parp-1 and parp-2 via multiple computational methods
topic Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255342/
https://www.ncbi.nlm.nih.gov/pubmed/32509471
http://dx.doi.org/10.7717/peerj.9241
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