Supply Research Data for 'Genome-scale metabolic analysis of yeasts and bacteria in wine production and their contribution to wine aroma'

This dataset contains 1) Appendix I: four xml format genome-scale metabolic models for S. cerevisiae, O. oeni, K. phaffii, and L. mesenteroides. 2) Appendix II: The py format files containing commands to load the four models and set constraints to the models in python environment. 3) Appendix III: The py format files to call commands to implement FBA and FVA to the models. 4) Appendix IV: The py format files containing commands to rename all the metabolites and give each one a unique ID according to its KEGG ID and its compartment. 5) Appendix V: The flux distribution after implementing FBA and FVA for each of the four models. 6) Appendix VI: The py format files containing commands to set constraints according to the concentration right after alcoholic fermentation. 7) Appendix VII: The flux distribution of the community model built by sc and kp models.

本数据集包含以下内容：1) 附录一：四个用于酿酒酵母（S. cerevisiae）、欧亚酿酒酵母（O. oeni）、帕哈菲酵母（K. phaffii）和肠膜明串珠菌（L. mesenteroides）的基因组规模代谢模型，格式为 XML。2) 附录二：包含用于在 Python 环境中加载上述四个模型并设置模型约束的命令的 py 格式文件。3) 附录三：用于对模型实施稳态流分析（FBA）和灵敏度分析（FVA）的命令的 py 格式文件。4) 附录四：包含对代谢物进行重命名并基于其 KEGG ID 及其细胞区室赋予唯一 ID 的命令的 py 格式文件。5) 附录五：实施 FBA 和 FVA 后，四个模型的流量分布情况。6) 附录六：包含在酒精发酵后根据浓度设置约束的命令的 py 格式文件。7) 附录七：由 sc 和 kp 模型构建的群落模型的流量分布。