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In silico site-directed mutagenesis informs species-specific predictions of chemical susceptibility derived from the Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool

机译:在计算机上进行定点诱变可根据序列比对预测物种间的易感性(SeqAPASS)工具对物种的化学敏感性进行特定预测

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摘要

Human and ecological hazard assessment of chemicals requires the extrapolation of toxicities measured in a small number of laboratory model species to species of concern. The Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool was developed as a rapid, cost effective method to aid cross-species extrapolation of susceptibility to chemicals acting on specific protein targets through evaluation of protein structural similarities and differences. The greatest resolution for extrapolation of chemical susceptibility across species involves comparisons of individual amino acid residues at key positions involved in protein-chemical interactions. However, a lack of understanding of whether specific amino acid substitutions among species at key positions in proteins affect interaction with chemicals made manual interpretation of alignments time consuming and potentially inconsistent. Therefore, this study used in silico site-directed mutagenesis coupled with docking simulations of computational models for acetylcholinesterase (AChE) and ecdysone receptor (EcR) to investigate how specific amino acid substitutions impact protein-chemical interaction. This study found that computationally derived substitutions in identities of key amino acids caused no change in protein-chemical interaction if residues share the same side chain functional properties and have comparable molecular dimensions, while differences in these characteristics can change protein-chemical interaction. These findings were considered in the development of capabilities for automatically generated species-specific predictions of chemical susceptibility in SeqAPASS. These predictions for AChE and EcR were shown to agree with less robust SeqAPASS predictions comparing the primary sequence and functional domain sequence of proteins for more than 90 % of the investigated species, but also identified dramatic species-specific differences in chemical susceptibility that align with results from standard toxicity tests. These results provide a compelling line-of-evidence for use of SeqAPASS in deriving screening level, species-specific, susceptibility predictions across broad taxonomic groups for application to human and ecological hazard assessment.
机译:对化学品的人类和生态危害评估要求将在少数实验室模型物种中测得的毒性推论到相关物种。开发了序列比对来预测各种物种的敏感性(SeqAPASS)工具,该工具是一种快速,经济高效的方法,可通过评估蛋白质结构的相似性和差异来帮助跨物种推断对作用于特定蛋白质靶标的化学物质的敏感性。物种间化学敏感性外推的最大解决方案涉及比较蛋白质-化学相互作用中关键位置的单个氨基酸残基。但是,缺乏对蛋白质关键位置物种间特定氨基酸取代是否会影响与化学物质相互作用的了解,使得对比对的人工解释既费时又可能不一致。因此,本研究在计算机模拟定点诱变中结合乙酰胆碱酯酶(AChE)和蜕皮激素受体(EcR)计算模型的对接模拟来研究特定的氨基酸取代如何影响蛋白质-化学相互作用。这项研究发现,如果残基具有相同的侧链功能特性并具有可比的分子尺寸,则通过计算得出的关键氨基酸身份的取代不会引起蛋白质-化学相互作用的改变,而这些特征的差异会改变蛋白质-化学相互作用。在自动生成SeqAPASS中物种特异性化学敏感性预测功能的开发中考虑了这些发现。这些AChE和EcR的预测与比较不可靠的SeqAPASS预测相吻合,SeqAPASS的预测对90%以上被调查物种的蛋白质的一级序列和功能域序列进行了比较,但还发现了在化学敏感性方面的显着物种特异性差异,与结果相符来自标准毒性测试。这些结果为使用SeqAPASS得出广泛的分类学组别的筛选水平,物种特异性,药敏性预测提供了令人信服的证据,可应用于人类和生态危害评估。

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