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序列比对预测跨物种易感性工具的演示,用于快速评估蛋白质保守性。

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation.

机构信息

Office of Research and Development, Center for Computational Toxicology and Exposure, Scientific Computing and Data Curation Division, U.S. Environmental Protection Agency;

Oak Ridge Institute for Science and Education.

出版信息

J Vis Exp. 2023 Feb 10(192). doi: 10.3791/63970.

DOI:10.3791/63970
PMID:36847398
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10758989/
Abstract

The US Environmental Protection Agency Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool is a fast, freely available, online screening application that allows researchers and regulators to extrapolate toxicity information across species. For biological targets in model systems such as human cells, mice, rats, and zebrafish, toxicity data are available for a variety of chemicals. Through the evaluation of protein target conservation, this tool can be used to extrapolate data generated from such model systems to thousands of other species lacking toxicity data, yielding predictions of relative intrinsic chemical susceptibility. The latest releases of the tool (versions 2.0-6.1) have incorporated new features that allow for the rapid synthesis, interpretation, and use of the data for publication plus presentation-quality graphics. Among these features are customizable data visualizations and a comprehensive summary report designed to summarize SeqAPASS data for ease of interpretation. This paper describes the protocol to guide users through submitting jobs, navigating the various levels of protein sequence comparisons, and interpreting and displaying the resulting data. New features of SeqAPASS v2.0-6.0 are highlighted. Furthermore, two use-cases focused on transthyretin and opioid receptor protein conservation using this tool are described. Finally, SeqAPASS' strengths and limitations are discussed to define the domain of applicability for the tool and highlight different applications for cross-species extrapolation.

摘要

美国环保署序列比对预测跨物种易感性(SeqAPASS)工具是一个快速、免费、在线的筛选应用程序,允许研究人员和监管机构在跨物种中推断毒性信息。对于人类细胞、老鼠、大鼠和斑马鱼等模型系统中的生物靶标,已经有各种化学物质的毒性数据。通过评估蛋白质靶标保守性,该工具可用于推断从这些模型系统中获得的数据,从而预测缺乏毒性数据的数千种其他物种的相对内在化学易感性。该工具的最新版本(2.0-6.1 版)具有新功能,可快速合成、解释和使用数据用于发布和演示质量的图形。其中的功能包括可定制的数据可视化和综合摘要报告,旨在简化解释,总结 SeqAPASS 数据。本文描述了引导用户提交作业、浏览各种蛋白质序列比较级别以及解释和显示结果数据的协议。突出显示了 SeqAPASS v2.0-6.0 的新功能。此外,还描述了使用该工具针对转甲状腺素蛋白和阿片受体蛋白保守性的两个用例。最后,讨论了 SeqAPASS 的优缺点,以确定该工具的适用范围,并强调跨物种推断的不同应用。