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

Livers Pub Date : 2023-08-30 DOI:10.3390/livers3030032
Mansi Rai, Namuna Paudel, Mesevilhou Sakhrie, D. Gemmati, I. Khan, V. Tisato, Anurag Kanase, A. Schulz, Ajay Vikram Singh
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引用次数: 5

Abstract

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.
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定量结构-毒性关系(QSTR)模型预测异种药物肝脏生物转化的前景
生物转化是指内源性和外源性化学物质代谢转化为更亲水的物质。异种生物转化是通过数量有限的具有广泛底物特异性的酶来实现的。外源性物质的生物转化是由各种酶系统催化的,根据它们催化的反应可分为四类。主要浓度在细胞色素P450中,而负责外源生物转化的CYP酶位于肝内质网(微粒体)内。细胞色素P450(CYP450)酶也存在于肝外组织中。催化生物转化反应的酶通常决定药物作用的强度和持续时间,并在化学毒性和化学肿瘤发生中发挥关键作用。特定生物转化酶的结构可能因个体而异,这可能导致外源生物转化率的差异。研究化学性肝损伤的分子机制对于预防或设计使用化学物质治疗肝损伤的新模式至关重要。活性代谢产物来源于使用一种或多种外源性加工酶对母体药物化合物进行生物转化,以产生具有不同药理学或毒理学特性的代谢产物。了解外源性化学物质(外源性物质)是如何代谢、分布和消除的,对于确定这些化合物对人类健康的影响至关重要。已经开发了生物转化器等计算工具来预测与代谢物产生相关的异生素和酶谱的所有可能代谢物。外源代谢图谱的构建可以预测催化能够与DNA结合的代谢产物的酶。
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