利用明尼苏达大学生物催化/生物降解数据库进行微生物降解研究。

Lynda Bm Ellis, Lawrence P Wackett
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引用次数: 40

摘要

微生物在地球上无处不在,具有多种代谢转化能力,对有助于维持生态系统和人类健康的化学品的环境生物降解至关重要。微生物生物降解代谢是明尼苏达大学生物催化/生物降解数据库(UM-BBD)的主要重点。UM-BBD数据还被用于开发计算代谢途径预测系统,该系统可应用于目前缺乏生物降解数据的化学品。um途径预测系统(UM-PPS)依赖于基于有机官能团的代谢规则,并预测合理的生物降解代谢。这些预测对寻找代谢中间体的环境化学家、寻找潜在有毒产品的监管者、试图了解微生物生物降解的微生物学家以及其他有广泛兴趣的人都很有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Use of the University of Minnesota Biocatalysis/Biodegradation Database for study of microbial degradation.

Use of the University of Minnesota Biocatalysis/Biodegradation Database for study of microbial degradation.

Use of the University of Minnesota Biocatalysis/Biodegradation Database for study of microbial degradation.

Use of the University of Minnesota Biocatalysis/Biodegradation Database for study of microbial degradation.

Microorganisms are ubiquitous on earth and have diverse metabolic transformative capabilities important for environmental biodegradation of chemicals that helps maintain ecosystem and human health. Microbial biodegradative metabolism is the main focus of the University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD). UM-BBD data has also been used to develop a computational metabolic pathway prediction system that can be applied to chemicals for which biodegradation data is currently lacking. The UM-Pathway Prediction System (UM-PPS) relies on metabolic rules that are based on organic functional groups and predicts plausible biodegradative metabolism. The predictions are useful to environmental chemists that look for metabolic intermediates, for regulators looking for potential toxic products, for microbiologists seeking to understand microbial biodegradation, and others with a wide-range of interests.

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