Structure-based identification of triazole-based PARP1 inhibitors: insights from docking and molecular dynamics simulations

The integrated in silico screening and molecular dynamics simulation approach successfully identified promising triazole derivatives as potential PARP1 inhibitors. These findings provide valuable insights for the rational design and optimization of novel anticancer agents targeting PARP1.

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Publication Details

Journal
Journal of Receptors and Signal Transduction
Published
2025-12-12
DOI
https://doi.org/10.1080/10799893.2025.2598534
Primary Topic
PARP inhibition in cancer therapy
Type
article
Field-Weighted Citation Impact
0.00
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article

Structure-based identification of triazole-based PARP1 inhibitors: insights from docking and molecular dynamics simulations

Kalirajan Rajagopal, H. Balachandran, Gowramma Byran, Veera Venkata Satyanarayana Reddy Karri et al.
Journal of Receptors and Signal Transduction
PARP inhibition in cancer therapy
article

Structure-based identification of triazole-based PARP1 inhibitors: insights from docking and molecular dynamics simulations

Kalirajan Rajagopal, H. Balachandran, Gowramma Byran, Veera Venkata Satyanarayana Reddy Karri, Selva R. Murugesan
article en

Abstract

The integrated in silico screening and molecular dynamics simulation approach successfully identified promising triazole derivatives as potential PARP1 inhibitors. These findings provide valuable insights for the rational design and optimization of novel anticancer agents targeting PARP1.

Journal of Receptors and Signal TransductionVol. 46(1)
JSS Academy of Higher Education and Research (IN), Chemical Pharmaceutical Research Institute (BG)
Openalex Percentile: Top 45%
PARP inhibition in cancer therapy
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