转运体注释阻碍了代谢建模的进展

John Casey, Brian Bennion, Patrik D’haeseleer, Jeffrey Kimbrel, G. Marschmann, Ali Navid
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引用次数: 0

摘要

微生物分离或群落的机制性、基于约束的模型是代谢分析工具箱中的主要工具,但对微生物-微生物和微生物-环境相互作用的预测只能与转运体注释的准确性相匹配。在对膜转运体进行全面的功能分配时会遇到许多障碍。这些障碍包括一般或非特异性底物分配,转运体的定位、方向性和可逆性不明确,以及底物、转运体和基因的多对多映射。在这一视角中,我们总结了用于确定转运体功能的实验和计算方法的进展,并考虑了将两者结合起来的前进道路。需要对准确的高通量功能表征进行投资,以训练下一代预测工具,实现基因组规模的代谢网络重建,从而更好地预测表型和相互作用。该领域更可靠的预测将使个性化医学、代谢工程和微生物生态学等领域受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transporter annotations are holding up progress in metabolic modeling
Mechanistic, constraint-based models of microbial isolates or communities are a staple in the metabolic analysis toolbox, but predictions about microbe-microbe and microbe-environment interactions are only as good as the accuracy of transporter annotations. A number of hurdles stand in the way of comprehensive functional assignments for membrane transporters. These include general or non-specific substrate assignments, ambiguity in the localization, directionality and reversibility of a transporter, and the many-to-many mapping of substrates, transporters and genes. In this perspective, we summarize progress in both experimental and computational approaches used to determine the function of transporters and consider paths forward that integrate both. Investment in accurate, high-throughput functional characterization is needed to train the next-generation of predictive tools toward genome-scale metabolic network reconstructions that better predict phenotypes and interactions. More reliable predictions in this domain will benefit fields ranging from personalized medicine to metabolic engineering to microbial ecology.
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