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建立一个生物降解模型,用于预测土壤中的代谢物。

Development of a biodegradation model for the prediction of metabolites in soil.

机构信息

Laboratory of Mathematical Chemistry, University Prof. As. Zlatarov, 8010 Bourgas, Bulgaria.

出版信息

Sci Total Environ. 2010 Aug 15;408(18):3811-6. doi: 10.1016/j.scitotenv.2010.02.008. Epub 2010 Mar 2.

Abstract

The awareness of air, soil and water pollution has driven the search for better methods for the assessment of the environmental fate of industrial chemicals. This paper is focused on the simulation of formation and transformation of metabolites in soil. The key challenges in the development of a simulator for predicting metabolic fate of chemicals in soil are the complexity of the soil compartment and incompleteness of metabolic information. Based on the collected data for metabolic fate of 183 chemicals a set of soil specific transformations were defined and used to develop a simulator for metabolism in soil. The analysis of outliers showed that the low predictability for some chemicals is due to: 1) incomplete documented metabolic pathways with missing intermediates and/or 2) reactions of condensation that are not simulated in the current version of the model. Hence, further improvement of the model requires expanding the metabolism database and further refinement of the logic of metabolic transformations used in the simulator.

摘要

空气、土壤和水污染意识促使人们寻求更好的方法来评估工业化学品的环境归宿。本文重点关注模拟土壤中代谢物的形成和转化。开发用于预测土壤中化学物质代谢命运的模拟器的关键挑战是土壤隔室的复杂性和代谢信息的不完整性。基于对 183 种化学物质代谢命运的收集数据,定义了一组土壤特异性转化,并用于开发用于土壤代谢的模拟器。对离群值的分析表明,某些化学物质的低预测性是由于以下原因:1)代谢途径不完整,缺少中间产物和/或 2)在当前模型版本中未模拟的缩合反应。因此,模型的进一步改进需要扩展代谢数据库,并进一步细化模拟器中使用的代谢转化逻辑。

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