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首页> 外文期刊>Current Topics in Medicinal Chemistry >Two-Dimensional (2D) In Silico Models for Absorption, Distribution, Metabolism, Excretion and Toxicity (ADME/T) in Drug Discovery
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Two-Dimensional (2D) In Silico Models for Absorption, Distribution, Metabolism, Excretion and Toxicity (ADME/T) in Drug Discovery

机译:药物发现中吸收,分布,代谢,排泄和毒性(ADME / T)的二维(2D)计算机模型

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摘要

With the dawn of new century, major technological advances in the drug discovery field have revolutionized absorption, distribution, metabolism, excretion and toxicity (ADME/T) profiling of new chemical entities (NCEs) among others. The progress made in the in vitro experimental determination of the ADME/T properties fueled the growth in the so-called predictive ADME/T. The process of in silico model development improved significantly with the availability of high quality data as well newer, more accurate statistical methods of analysis. Even several such models appear in the literature regularly, the prediction accuracy is limited to ‘local’ rather than ‘global’ applicability domain in majority of the cases. Majority of the efforts are still needed to address several issues such as data quality, accuracy of the results, etc., to increase the usefulness of these models. The ultimate aim is to develop in silico ADME/T models which will largely replace their in vitro experimental counterparts. The current review article discusses the two-dimensional (2D) approaches used in the predictive ADME/T model development and their limitations and usefulness in the discovery process.
机译:随着新世纪的到来,药物发现领域的重大技术进步彻底改变了新化学实体(NCE)的吸收,分布,代谢,排泄和毒性(ADME / T)分析。体外实验确定ADME / T特性的进展推动了所谓的预测性ADME / T的增长。有了高质量的数据以及更新,更准确的统计分析方法,计算机模型开发的过程得到了显着改善。甚至在文献中也经常出现这样的模型,在大多数情况下,预测准确性仅限于“本地”适用范围,而不是“全球”适用范围。为了提高这些模型的实用性,仍然需要大量努力来解决几个问题,例如数据质量,结果的准确性等。最终目的是开发计算机模拟ADME / T模型,该模型将大大替代其体外实验模型。当前的评论文章讨论了预测ADME / T模型开发中使用的二维(2D)方法及其在发现过程中的局限性和实用性。

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