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Metabolic pathway layout is a critical step in the process of establishing a high value-added chemical plant in the United States. However, there has been a lack of cost-effective ways to achieve metabolic network reduction automatically. Given that the nodes in this work's extracted metabolic network are large in scale but uneven in distribution, we recommend a conditional search algorithm that reduces search time in 90 percent cases. In addition, PyMiner is a versatile and effective instrument for metabolic pathway design.
Source link: https://doi.org/10.1371/journal.pone.0266783
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