Novel natural inhibitors targeting B-RAF(V600E) by computational study

The aim of this research was to screen the ZINC15 database to select lead compounds and drug candidates which can inhibit B-RAF (V600E). In order to identify drugs potentially inhibited B-RAF (V600E), numerous modules of Discovery Studio 4.5 were employed. Structure-based screening using LibDock was...

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Main Authors: Bo Wu, Zhiyun Zhang, Gaojing Dou, Xiaye Lv, Junliang Ge, Hongyu Wang, Haoqun Xie, Dong Zhu
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Bioengineered
Subjects:
Online Access:http://dx.doi.org/10.1080/21655979.2021.1943113
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spelling doaj-484132269ac145e09190f4049c3794ba2021-07-15T13:47:55ZengTaylor & Francis GroupBioengineered2165-59792165-59872021-01-011212970298310.1080/21655979.2021.19431131943113Novel natural inhibitors targeting B-RAF(V600E) by computational studyBo Wu0Zhiyun Zhang1Gaojing Dou2Xiaye Lv3Junliang Ge4Hongyu Wang5Haoqun Xie6Dong Zhu7the First Bethune Hospital of Jilin UniversityJilin University, Street Xinmin 126Jilin University, Street Xinmin 126the First Clinical Medical School of Lanzhou University, No.1, Donggangxi Rd, Chengguan DistrictJilin University, Street Xinmin 126Jilin University, Street Xinmin 126Jilin University, Street Xinmin 126the First Bethune Hospital of Jilin UniversityThe aim of this research was to screen the ZINC15 database to select lead compounds and drug candidates which can inhibit B-RAF (V600E). In order to identify drugs potentially inhibited B-RAF (V600E), numerous modules of Discovery Studio 4.5 were employed. Structure-based screening using LibDock was carried out followed by ADME (absorption, distribution, metabolism, excretion) and toxicity prediction. CDOCKER was performed to demonstrate the binding affinity and mechanism between ligands and B-RAF(V600E). To evaluate whether ligand-receptor complexes were stable, molecular dynamics were employed. Two novel natural compounds (ZINC000100168592 and ZINC000049784088) from ZINC15 database were found binding to B-RAF(V600E) with more favorable interaction energy in comparison with the reference drug Vemurafenib. Also, they were predicted with less ames mutagenicity, rodent carcinogenicity, non-developmental toxic potential and tolerance to cytochrome P450 2D6 (CYP2D6). The molecular dynamics simulation analysis indicated that the compound-B-RAF(V600E) complexes had more favorable potential energy compared with Vemurafenib and they can exist in natural environments stably. The result of this study shows that ZINC000100168592 and ZINC000049784088 are ideal leading potential compounds to inhibit B-RAF(V600E). The findings of this study and these selected drug candidates greatly contributed to the medication design and improvement of B-RAF(V600E) and other proteins.http://dx.doi.org/10.1080/21655979.2021.1943113b-raf(v600e)vemurafenibdrug treatmentdiscovery studiovirtual screening
collection DOAJ
language English
format Article
sources DOAJ
author Bo Wu
Zhiyun Zhang
Gaojing Dou
Xiaye Lv
Junliang Ge
Hongyu Wang
Haoqun Xie
Dong Zhu
spellingShingle Bo Wu
Zhiyun Zhang
Gaojing Dou
Xiaye Lv
Junliang Ge
Hongyu Wang
Haoqun Xie
Dong Zhu
Novel natural inhibitors targeting B-RAF(V600E) by computational study
Bioengineered
b-raf(v600e)
vemurafenib
drug treatment
discovery studio
virtual screening
author_facet Bo Wu
Zhiyun Zhang
Gaojing Dou
Xiaye Lv
Junliang Ge
Hongyu Wang
Haoqun Xie
Dong Zhu
author_sort Bo Wu
title Novel natural inhibitors targeting B-RAF(V600E) by computational study
title_short Novel natural inhibitors targeting B-RAF(V600E) by computational study
title_full Novel natural inhibitors targeting B-RAF(V600E) by computational study
title_fullStr Novel natural inhibitors targeting B-RAF(V600E) by computational study
title_full_unstemmed Novel natural inhibitors targeting B-RAF(V600E) by computational study
title_sort novel natural inhibitors targeting b-raf(v600e) by computational study
publisher Taylor & Francis Group
series Bioengineered
issn 2165-5979
2165-5987
publishDate 2021-01-01
description The aim of this research was to screen the ZINC15 database to select lead compounds and drug candidates which can inhibit B-RAF (V600E). In order to identify drugs potentially inhibited B-RAF (V600E), numerous modules of Discovery Studio 4.5 were employed. Structure-based screening using LibDock was carried out followed by ADME (absorption, distribution, metabolism, excretion) and toxicity prediction. CDOCKER was performed to demonstrate the binding affinity and mechanism between ligands and B-RAF(V600E). To evaluate whether ligand-receptor complexes were stable, molecular dynamics were employed. Two novel natural compounds (ZINC000100168592 and ZINC000049784088) from ZINC15 database were found binding to B-RAF(V600E) with more favorable interaction energy in comparison with the reference drug Vemurafenib. Also, they were predicted with less ames mutagenicity, rodent carcinogenicity, non-developmental toxic potential and tolerance to cytochrome P450 2D6 (CYP2D6). The molecular dynamics simulation analysis indicated that the compound-B-RAF(V600E) complexes had more favorable potential energy compared with Vemurafenib and they can exist in natural environments stably. The result of this study shows that ZINC000100168592 and ZINC000049784088 are ideal leading potential compounds to inhibit B-RAF(V600E). The findings of this study and these selected drug candidates greatly contributed to the medication design and improvement of B-RAF(V600E) and other proteins.
topic b-raf(v600e)
vemurafenib
drug treatment
discovery studio
virtual screening
url http://dx.doi.org/10.1080/21655979.2021.1943113
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