Computational study on novel natural inhibitors targeting BCL2

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 v...

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Veröffentlicht in:Medical oncology (Northwood, London, England) London, England), 2021-08, Vol.38 (8), p.94, Article 94
Hauptverfasser: Lv, Xiaye, Jiang, Yuting, Wang, Xinhui, Xie, HaoQun, Dou, Gaojing, Wang, Jing, Yang, Wenzhuo, Wang, Hongyu, Li, Zijian, Zhang, Xiangheng, Chen, Zhenghe
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container_title Medical oncology (Northwood, London, England)
container_volume 38
creator Lv, Xiaye
Jiang, Yuting
Wang, Xinhui
Xie, HaoQun
Dou, Gaojing
Wang, Jing
Yang, Wenzhuo
Wang, Hongyu
Li, Zijian
Zhang, Xiangheng
Chen, Zhenghe
description 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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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. 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subjects Antineoplastic Agents - administration & dosage
Apoptosis
Binding sites
Biological Products - administration & dosage
Biological Products - metabolism
Cancer therapies
Computer Simulation
Crystal structure
Cytochrome
Drug Delivery Systems - methods
Drug development
Drug Evaluation, Preclinical - methods
Drugs
Hematology
Humans
Internal Medicine
Laboratories
Life Sciences & Biomedicine
Ligands
Lymphoma
Lymphoma, Large B-Cell, Diffuse - drug therapy
Lymphoma, Large B-Cell, Diffuse - metabolism
Medical prognosis
Medicine
Medicine & Public Health
Metabolism
Molecular Docking Simulation - methods
Molecular Dynamics Simulation
Oncology
Original Paper
Pathology
Protein Structure, Secondary
Protein Structure, Tertiary
Proteins
Proto-Oncogene Proteins c-bcl-2 - antagonists & inhibitors
Proto-Oncogene Proteins c-bcl-2 - metabolism
Science & Technology
Simulation
Software
title Computational study on novel natural inhibitors targeting BCL2
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