结合分子对接和药效团模型预测内分泌干扰化学物质与核受体的配体结合。

IF 3.7 3区 医学 Q2 CHEMISTRY, MEDICINAL
Asma Sellami, Matthieu Montes, Nathalie Lagarde
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引用次数: 0

摘要

核受体形成了一个蛋白质家族,能够在其配体结合区域容纳各种各样的小分子,从治疗化合物到内分泌干扰化学物质。快速鉴定这些化合物,特别是后一类化合物,是至关重要的。利用从美国环境保护署(Environmental Protection Agency)发起的CompTox Dashboard中提取的数据,我们评估了分子对接和药效基团模型结合的有效性,以识别与六种核受体结合的配体:雄激素受体、雌激素受体α、雌激素受体β、糖皮质激素受体、过氧化物酶体增殖激活受体γ和甲状腺激素受体α。对于每个核受体,我们选择了一个专门设计和优化的硅协议,结合实验分析,可以优先考虑化合物进行进一步评估,以检测任何潜在的毒理学问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Molecular Docking and Pharmacophore Models Predicts Ligand Binding of Endocrine-Disrupting Chemicals to Nuclear Receptors.

Nuclear receptors form a family of proteins capable of accommodating a wide variety of small molecules in their ligand binding domain, ranging from therapeutic compounds to endocrine-disrupting chemicals. The rapid identification of these compounds, especially within the latter category, is of paramount importance. Using data extracted from the CompTox Dashboard, an Environmental Protection Agency initiative, we assessed the effectiveness of a combination of molecular docking and pharmacophore models in identifying ligands binding to six nuclear receptors: androgen receptor, estrogen receptor alpha, estrogen receptor beta, glucocorticoid receptor, peroxisome proliferator-activated receptor gamma, and thyroid hormone receptor alpha. For each nuclear receptor, we selected a specifically designed and optimized in silico protocol that, in conjunction with experimental assays, can prioritize compounds for further evaluation to detect any potential toxicological concerns.

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来源期刊
CiteScore
7.90
自引率
7.30%
发文量
215
审稿时长
3.5 months
期刊介绍: Chemical Research in Toxicology publishes Articles, Rapid Reports, Chemical Profiles, Reviews, Perspectives, Letters to the Editor, and ToxWatch on a wide range of topics in Toxicology that inform a chemical and molecular understanding and capacity to predict biological outcomes on the basis of structures and processes. The overarching goal of activities reported in the Journal are to provide knowledge and innovative approaches needed to promote intelligent solutions for human safety and ecosystem preservation. The journal emphasizes insight concerning mechanisms of toxicity over phenomenological observations. It upholds rigorous chemical, physical and mathematical standards for characterization and application of modern techniques.
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