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Published in: Medical Oncology 8/2021

Open Access 01-08-2021 | Original Paper

Computational study on novel natural inhibitors targeting BCL2

Authors: Xiaye Lv, Yuting Jiang, Xinhui Wang, HaoQun Xie, Gaojing Dou, Jing Wang, Wenzhuo Yang, Hongyu Wang, Zijian Li, Xiangheng Zhang, Zhenghe Chen

Published in: Medical Oncology | Issue 8/2021

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Abstract

Ideal lead compounds and candidate drugs with inhibitory effect on BCL2 were screened from ZINC database, which laid a foundation for drug development and compound improvement of drug treatment for diffuse large B-cell lymphoma (DLCBL). Identification of potential BCL2 inhibitors by computer-aided virtual screening. Libdock was applied to 17,931 compounds and the top 20 were selected for further analysis. Selected compounds were performed absorption, distribution, metabolism, and excretion (ADME) and toxicity prediction. The binding affinity between the selected ligands and BCL2 was confirmed by Molecular docking. The new natural compounds, ZINC00000255131 and ZINC00013298233, were found to bind closely with BCL2. Furthermore, they all scored lower in ames-induced mutagenicity, rodent carcinogenicity, non-developmental toxicity potential, and cytochrome P4502D6 tolerance. Molecular dynamics simulation shows that the combinations of ZINC00000255131 and ZINC00013298233 with BCL2 in the natural environment are more stable. Two new compounds, ZINC00000255131 and ZINC00013298233, were found to be potential inhibitors of BCL2. These compounds have been proved to be safe, which is of great significance for the development and improvement of DLCBL drugs.
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Metadata
Title
Computational study on novel natural inhibitors targeting BCL2
Authors
Xiaye Lv
Yuting Jiang
Xinhui Wang
HaoQun Xie
Gaojing Dou
Jing Wang
Wenzhuo Yang
Hongyu Wang
Zijian Li
Xiangheng Zhang
Zhenghe Chen
Publication date
01-08-2021
Publisher
Springer US
Published in
Medical Oncology / Issue 8/2021
Print ISSN: 1357-0560
Electronic ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-021-01513-x

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