Perspective on Quantitative Structure–Toxicity Relationship (QSTR) Models to Predict Hepatic Biotransformation of Xenobiotics

作者
Mansi Rai,Namuna Paudel,Mesevilhou Sakhrie,Donato Gemmati,Inshad Ali Khan,Veronica Tisato,Anurag Kanase,Armin Schulz,Ajay Vikram Singh
出处
期刊:Livers [MDPI AG]
卷期号:3 (3): 448-462 被引量:53
标识
DOI:10.3390/livers3030032
摘要

Biotransformation refers to the metabolic conversion of endogenous and xenobiotic chemicals into more hydrophilic substances. Xenobiotic biotransformation is accomplished by a restricted number of enzymes with broad substrate specificities. The biotransformation of xenobiotics is catalyzed by various enzyme systems that can be divided into four categories based on the reaction they catalyze. The primary concentration is in cytochrome P450, while the CYP enzymes responsible for xenobiotic biotransformation are located within the hepatic endoplasmic reticulum (microsomes). Cytochrome P450 (CYP450) enzymes are also present in extrahepatic tissues. Enzymes catalyzing biotransformation reactions often determine the intensity and duration of the action of drugs and play a key role in chemical toxicity and chemical tumorigenesis. The structure of a given biotransforming enzyme may differ among individuals, which can cause differences in the rates of xenobiotic biotransformation. The study of the molecular mechanisms underlying chemical liver injury is fundamental for preventing or devising new modalities of treatment for liver injury using chemicals. Active metabolites arise from the biotransformation of a parent drug compound using one or more xenobiotic-processing enzymes to generate metabolites with different pharmacological or toxicological properties. Understanding how exogenous chemicals (xenobiotics) are metabolized, distributed, and eliminated is critical to determining the impact of these compounds on human health. Computational tools such as Biotransformer have been developed to predict all the possible metabolites of xenobiotic and enzymatic profiles that are linked to the production of metabolites. The construction of xenobiotic metabolism maps can predict enzymes catalyzing metabolites capable of binding to DNA.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
aurora发布了新的文献求助10
2秒前
Jane完成签到,获得积分10
2秒前
2秒前
3秒前
NaNa完成签到,获得积分10
3秒前
shouwenjun发布了新的文献求助80
4秒前
谨慎果汁完成签到,获得积分10
7秒前
...完成签到,获得积分10
7秒前
俭朴苑博应助LUUUUUU采纳,获得10
7秒前
Hopeful完成签到,获得积分10
7秒前
ldc发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
chrysan发布了新的文献求助10
9秒前
ww完成签到 ,获得积分10
10秒前
mengfeiyang发布了新的文献求助10
10秒前
aaaaaa完成签到,获得积分10
10秒前
star完成签到 ,获得积分10
12秒前
DW应助支安白采纳,获得10
13秒前
14秒前
14秒前
想瘦的海豹完成签到,获得积分10
14秒前
17秒前
充电宝应助ldc采纳,获得10
17秒前
Auntiepress发布了新的文献求助10
17秒前
嗯嗯完成签到 ,获得积分10
18秒前
19秒前
斯文败类应助祝风华采纳,获得10
19秒前
科研通AI6.2应助红豆子采纳,获得10
20秒前
今后应助水豚噜噜本人采纳,获得30
23秒前
24秒前
25秒前
26秒前
ace完成签到 ,获得积分10
27秒前
27秒前
29秒前
NexusExplorer应助luo采纳,获得10
29秒前
zhen完成签到,获得积分10
30秒前
30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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7712610
求助须知:如何正确求助?哪些是违规求助? 9268654
关于积分的说明 20073024
捐赠科研通 7289221
什么是DOI,文献DOI怎么找? 3297665
关于科研通互助平台的介绍 2451967
邀请新用户注册赠送积分活动 2304833