Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations
Abstract Despite the promising anticancer properties of PARP‐1 inhibitors, their clinical use is hindered by side effects. It is crucial to explore new structural variants of these inhibitors to increase efficacy and minimize side effects, enhancing their clinical viability and therapeutic scope. In...
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| Format: | Article |
| Language: | English |
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Wiley-VCH
2025-08-01
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| Series: | ChemistryOpen |
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| Online Access: | https://doi.org/10.1002/open.202500021 |
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| author | Guan Wang Jingjing Guo Feng Xu Mingjuan Ji |
| author_facet | Guan Wang Jingjing Guo Feng Xu Mingjuan Ji |
| author_sort | Guan Wang |
| collection | DOAJ |
| description | Abstract Despite the promising anticancer properties of PARP‐1 inhibitors, their clinical use is hindered by side effects. It is crucial to explore new structural variants of these inhibitors to increase efficacy and minimize side effects, enhancing their clinical viability and therapeutic scope. In this study, we developed a virtual screening workflow that synergistically integrates the capabilities of TransFoxMol, KarmaDock, and AutoDock Vina. This workflow not only streamlines the identification of potential inhibitors but also ensures a systematic approach to prioritizing candidates. Through structural clustering, we identified ten promising PARP‐1 inhibitors. Additionally, molecular dynamics simulations and MM/PBSA were employed to elucidate the binding modes of compounds 1, 3, 6, and 9 with PARP‐1, providing valuable insights into their interaction mechanisms and supporting future drug development efforts. This workflow serves as a versatile tool for early‐stage drug discovery, offering a strategic foundation for the rational design of new PARP‐1 inhibitors. |
| format | Article |
| id | doaj-art-b62246f20f964df39736b7cb802a3fc2 |
| institution | Kabale University |
| issn | 2191-1363 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | ChemistryOpen |
| spelling | doaj-art-b62246f20f964df39736b7cb802a3fc22025-08-21T12:05:32ZengWiley-VCHChemistryOpen2191-13632025-08-01148n/an/a10.1002/open.202500021Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics SimulationsGuan Wang0Jingjing Guo1Feng Xu2Mingjuan Ji3Taizhou Vocational and Technical College School of Medicine and Pharmaceutical Engineering Chemical Pharmaceutical Research Institute Taizhou ChinaTaizhou Vocational and Technical College School of Medicine and Pharmaceutical Engineering Chemical Pharmaceutical Research Institute Taizhou ChinaTaizhou Vocational and Technical College School of Medicine and Pharmaceutical Engineering Chemical Pharmaceutical Research Institute Taizhou ChinaZhejiang University of Technology College of pharmacy Hangzhou ChinaAbstract Despite the promising anticancer properties of PARP‐1 inhibitors, their clinical use is hindered by side effects. It is crucial to explore new structural variants of these inhibitors to increase efficacy and minimize side effects, enhancing their clinical viability and therapeutic scope. In this study, we developed a virtual screening workflow that synergistically integrates the capabilities of TransFoxMol, KarmaDock, and AutoDock Vina. This workflow not only streamlines the identification of potential inhibitors but also ensures a systematic approach to prioritizing candidates. Through structural clustering, we identified ten promising PARP‐1 inhibitors. Additionally, molecular dynamics simulations and MM/PBSA were employed to elucidate the binding modes of compounds 1, 3, 6, and 9 with PARP‐1, providing valuable insights into their interaction mechanisms and supporting future drug development efforts. This workflow serves as a versatile tool for early‐stage drug discovery, offering a strategic foundation for the rational design of new PARP‐1 inhibitors.https://doi.org/10.1002/open.202500021PARP-1Hybrid Virtual ScreeningMolecular Dynamics |
| spellingShingle | Guan Wang Jingjing Guo Feng Xu Mingjuan Ji Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations ChemistryOpen PARP-1 Hybrid Virtual Screening Molecular Dynamics |
| title | Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations |
| title_full | Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations |
| title_fullStr | Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations |
| title_full_unstemmed | Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations |
| title_short | Development of an Integrated Computational Pipeline for PARP‐1 Inhibitor Screening Using Hybrid Virtual Screening and Molecular Dynamics Simulations |
| title_sort | development of an integrated computational pipeline for parp 1 inhibitor screening using hybrid virtual screening and molecular dynamics simulations |
| topic | PARP-1 Hybrid Virtual Screening Molecular Dynamics |
| url | https://doi.org/10.1002/open.202500021 |
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