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在证据权重策略中使用 VEGAHUB。

Using VEGAHUB Within a Weight-of-Evidence Strategy.

机构信息

Chemical Food Safety Group, Nestlé Research, Lausanne, Switzerland.

Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

出版信息

Methods Mol Biol. 2022;2425:479-495. doi: 10.1007/978-1-0716-1960-5_18.

DOI:10.1007/978-1-0716-1960-5_18
PMID:35188643
Abstract

Industrial needs and regulatory requirements have played a significant role in accelerating the use of nontesting methods including in silico tools as alternatives to animal testing. The main interest is not solely on the use of in silico tools, or in read-across, but on better toxicological safety assessment of substances, and for this purpose more advanced, integrated strategies have to be implemented. VEGAHUB wants to promote this broader view, not necessarily focused on a specific approach. Applying multiple tools and complementary approaches instead of one technique may provide more elements for a more robust evaluation, but at the same time it is important to have a conceptual scheme to integrate multiple, heterogeneous lines of evidence. We will show how the user can benefit from the diversity of tools available within the platform VEGAHUB for assessing the biological properties of chemical substances on an example of (non)mutagenicity.

摘要

工业需求和监管要求在加速使用非测试方法方面发挥了重要作用,包括计算工具作为动物测试的替代品。主要关注点不仅仅是使用计算工具或读码,而是更好地进行物质的毒理学安全性评估,为此目的,必须实施更先进、综合的策略。VEGAHUB 希望促进这种更广泛的观点,不一定专注于特定方法。应用多种工具和互补方法而不是一种技术,可能会为更稳健的评估提供更多元素,但同时,重要的是要有一个概念框架来整合多种异类证据线索。我们将展示用户如何从 VEGAHUB 平台中可用的各种工具中受益,以(非)致突变性为例评估化学物质的生物学特性。

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本文引用的文献

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Integrated Models for the Prediction of No-Observed-(Adverse)-Effect Levels and Lowest-Observed-(Adverse)-Effect Levels in Rats for Sub-chronic Repeated-Dose Toxicity.整合模型预测大鼠亚慢性重复剂量毒性的无观察不良效应水平和最低观察不良效应水平。
Chem Res Toxicol. 2021 Feb 15;34(2):247-257. doi: 10.1021/acs.chemrestox.0c00176. Epub 2020 Aug 4.
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Guidance on harmonised methodologies for human health, animal health and ecological risk assessment of combined exposure to multiple chemicals.关于多种化学品联合暴露对人类健康、动物健康和生态风险评估的统一方法指南。
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Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy.
整合计算模型和读通方法预测化学品毒性:一种逐步策略。
Environ Int. 2019 Oct;131:105060. doi: 10.1016/j.envint.2019.105060. Epub 2019 Aug 1.
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QSAR Development for Plasma Protein Binding: Influence of the Ionization State.QSAR 开发用于血浆蛋白结合:电离状态的影响。
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Hierarchical Rules for Read-Across and In Silico Models of Mutagenicity.致突变性的类推及计算机模拟模型的分级规则。
J Environ Sci Health C Environ Carcinog Ecotoxicol Rev. 2015;33(4):385-403. doi: 10.1080/10590501.2015.1096881.
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ToxRead: a tool to assist in read across and its use to assess mutagenicity of chemicals.ToxRead:一种辅助类推分析的工具及其在评估化学品致突变性方面的应用。
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