In Silico simulation of Cytochrome P450-Mediated metabolism of aromatic amines: A case study of N-Hydroxylation

化学 羟基化 细胞色素P450 芳香性 亲核细胞 芳香胺 电泳剂 有机化学 分子 催化作用
作者
Huanni Zhang,Chenchen Wang,Fangjie Guo,Lingmin Jin,Runqian Song,Fangxing Yang,Li Ji,Haiying Yu
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier BV]
卷期号:237: 113544-113544 被引量:8
标识
DOI:10.1016/j.ecoenv.2022.113544
摘要

Aromatic amines, the widely used raw materials in industry, cause long-term exposure to human bodies. They can be metabolized by cytochrome P450 enzymes to form active electrophilic compounds, which will potentially react with nucleophilic DNA to exert carcinogenesis. The short lifetime and versatility of the oxidant (a high-valent iron (IV)-oxo species, compound I) of P450 enzymes prompts us to use theoretical methods to investigate the metabolism of aromatic amines. In this work, the density functional theory (DFT) has been employed to simulate the hydroxylation metabolism through H-abstraction and to calculate the activation energy of this reaction for 28 aromatic amines. The results indicate that the steric effects, inductive effects and conjugative effects greatly contribute to the metabolism activity of the chemicals. The further correlation reveals that the dissociation energy of -NH2 (BDEN-H) can successfully predict the time-consuming calculated activation energy (R2 for aromatic and heteroaromatic amines are 0.93 and 0.86, respectively), so BDEN-H can be taken as a key parameter to characterize the relative stability of aromatic amines in P450 enzymes and further to quickly assess their potential toxicity. The validation results prove such relationship has good statistical performance (qcv2 for aromatic and heteroaromatic amines are 0.95 and 0.90, respectively) and can be used to other aromatic amines in the application domain, greatly reducing computational cost and providing useful support for experimental research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Liyaya完成签到 ,获得积分10
刚刚
道阻且长完成签到 ,获得积分10
1秒前
fyjlfy完成签到 ,获得积分10
1秒前
苗条桐完成签到,获得积分20
1秒前
苍术关注了科研通微信公众号
2秒前
若冰完成签到,获得积分10
2秒前
2秒前
踟蹰发布了新的文献求助10
3秒前
浮游应助典雅又夏采纳,获得10
3秒前
3秒前
ephore应助奋斗诗云采纳,获得50
4秒前
4秒前
xiao发布了新的文献求助10
6秒前
6秒前
leeteukxx完成签到,获得积分10
7秒前
8秒前
火星上香菇完成签到,获得积分20
8秒前
杜飞发布了新的文献求助30
8秒前
9秒前
wang驳回了Dean应助
10秒前
苹果花完成签到,获得积分10
10秒前
11秒前
11秒前
Qianfan发布了新的文献求助10
12秒前
zzzqqq完成签到,获得积分10
12秒前
秋水发布了新的文献求助10
13秒前
露西亚发布了新的文献求助20
13秒前
13秒前
il完成签到 ,获得积分10
14秒前
14秒前
15秒前
小马甲应助苍术采纳,获得10
15秒前
15秒前
16秒前
善学以致用应助linmo采纳,获得10
17秒前
细腻冬日完成签到,获得积分10
17秒前
刻苦水风发布了新的文献求助10
18秒前
芒草lx完成签到,获得积分10
20秒前
杜飞完成签到,获得积分10
21秒前
SciGPT应助HELPMEPLZ采纳,获得10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Comprehensive Computational Chemistry 2023 800
2026国自然单细胞多组学大红书申报宝典 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4911216
求助须知:如何正确求助?哪些是违规求助? 4186705
关于积分的说明 13001055
捐赠科研通 3954531
什么是DOI,文献DOI怎么找? 2168334
邀请新用户注册赠送积分活动 1186721
关于科研通互助平台的介绍 1094125