ArticlePeerJ2020
Revealing the selective mechanisms of inhibitors to PARP-1 and PARP-2 via multiple computational methods.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Comparative Assessment of Free Energy Computational Methods for Revealing the Interactions Driving PARP1 Selective Inhibition.Journal of chemical information and modeling · 2026Article
- Structural Determinants of PARP1 Selectivity from Molecular Dynamics Analysis of PARP1 and PARP2 Complexes.Molecules (Basel, Switzerland) · 2026Article
- Cooperative molecular interaction networks govern PARP1 inhibitor selectivity and binding affinity.PLoS computational biology · 2026Article
- From dual inhibition to precision selectivity: the molecular rationale and clinical evolution of next-generation PARP1-selective inhibitors in solid tumors.Frontiers in oncology · 2026Review
- A structure-based framework for selective inhibitor design and optimization.Communications biology · 2025Article
- Impact of a Cancer-Associated Mutation on Poly(ADP-ribose) Polymerase1 Inhibition.The journal of physical chemistry. B · 2025Article
- Impact of a Cancer-Associated Mutation on Poly(ADP-ribose) Polymerase1 Inhibition.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResearch 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.
methodsIn 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.
resultsThe 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.
conclusionThis 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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