Research Paper Volume 13, Issue 2 pp 1898—1912
Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study
- 1 Neurosurgery and Neuro-Oncology Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- 2 Clinical College, Jilin University, Changchun, China
- 3 Department of Orthopaedics, The First Hospital of Jilin University, Changchun, China
- 4 Department of Oncology, The First Bethune Hospital of Jilin University, Changchun, China
- 5 Department of Orthopaedics, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
Received: May 19, 2020 Accepted: August 14, 2020 Published: January 23, 2021
https://doi.org/10.18632/aging.103986How to Cite
Copyright: © 2021 Zhong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Object: This study was designed to screen ideal lead compounds and drug candidates with an inhibitory effect on PARP from the drug library (ZINC database).
Results: Two effective natural compounds ZINC000003938684 and ZINC000014811844 were found to bind to PARP in the ZINC database, showing a higher binding affinity. Also, they were predicted to have lower rodent carcinogenicity, Ames mutagenicity, developmental toxicity potential, and high tolerance to cytochrome P4502D6. Molecular dynamics simulation showed that ZINC000003938684 and ZINC000014811844 had a more favorable potential energies with PARP, which could exist stably in natural circumstances.
Conclusion: This study suggested that ZINC000003938684 and ZINC000014811844 were ideal potential inhibitors of PARP targeting. These compounds were safe drug candidates and had important implications for the design and improvement of CMET target drugs.
Methods: A battery of computer-aided virtual techniques were used to identify potential inhibitors of PARP. LibDock is used for structure-based screening followed by ADME (absorption distribution, metabolic excretion) and toxicity prediction. Molecular docking was performed to demonstrate the binding affinity mechanism between the ligand and PARP. Molecular dynamics simulations were used to evaluate the stability of ligand-receptor complexes.