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首页> 外文期刊>Toxicology and Applied Pharmacology >Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials
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Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials

机译:在应用计算建模到预测纳米材料的生物学效应时,最近的进展和未解决的问题

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摘要

Nanomaterials research is one of the fastest growing contemporary research areas. The unprecedented properties of these materials have meant that they are being incorporated into products very quickly. Regulatory agencies are concerned they cannot assess the potential hazards of these materials adequately, as data on the biological properties of nanomaterials are still relatively limited and expensive to acquire. Computational modelling methods have much to offer in helping understand the mechanisms by which toxicity may occur, and in predicting the likelihood of adverse biological impacts of materials not yet tested experimentally. This paper reviews the progress these methods, particularly those QSAR-based, have made in understanding and predicting potentially adverse biological effects of nanomaterials, and also the limitations and pitfalls of these methods. (C) 2015 Published by Elsevier Inc.
机译:纳米材料研究是最快的现代研究领域之一。 这些材料的前所未有的性质意味着它们被迅速地掺入产品中。 监管机构涉及他们无法评估这些材料的潜在危害,因为纳米材料的生物学性质的数据仍然相对有限和昂贵。 计算建模方法在帮助理解可能发生毒性的机制方面具有很多东西,以及预测实验测试尚未测试的材料不利生物影响的可能性。 本文审查了这些方法,特别是那些基于QSAR的进展,已经在理解和预测纳米材料的潜在不利生物学作用,以及这些方法的局限性和缺陷。 (c)2015年由elsevier公司发布

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