Zixiang Xu
Chinese Academy of Sciences
22 Papers
26 Citations
Zixiang Xu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Metabolic network & Chemistry. The author has an hindex of 5, co-authored 16 publications. Previous affiliations of Zixiang Xu include Southeast University.
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Papers
High-throughput metagenomic analysis of petroleum-contaminated soil microbiome reveals the versatility in xenobiotic aromatics metabolism
TL;DR: The analysis reveals that the soil metagenome is characterized by high level of community diversity and metabolic versatility, and a composite metabolic network is proposed for the identified pathways, thus consolidating the identification of the pathways.
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CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
TL;DR: This work proposes an efficient CNN-Transformer Cooperation Network (CTCNet) for face super-resolution tasks, which uses the multi-scale connected encoder-decoder architecture as the backbone and can outperform other state-of-the-art methods signi ficantly.
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Profiling of Saccharomyces cerevisiae transcription factors for engineering the resistance of yeast to lignocellulose-derived inhibitors in biomass conversion
TL;DR: An overview of the involvement of thirty transcription factors in the resistance to lignocellulose-derived substances is provided, distinct and complementary roles played by YAP1 and STB5 are shown, and directions for the engineering of robust yeast strains for fermentation processes based on lignOcellulosic feedstocks are offered.
Development of thermodynamic optimum searching (TOS) to improve the prediction accuracy of flux balance analysis
TL;DR: A novel optimization method termed as thermodynamic optimum searching (TOS) was developed to calculate the thermodynamically optimal solution, based on the second law of thermodynamics, the minimum magnitude of the Gibbs free energy change and the maximum entropy production principle (MEPP).
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Reconstruction and analysis of genome‐scale metabolic model for thermophilic fungus Myceliophthora thermophila
TL;DR: The first manually curated genome‐scale metabolic model iDL1450 for M. thermophila was reconstructed using an autogenerating pipeline with thorough manual curation and sheds light on model‐driven strain design to improve biotechnological applications of this thermophilic lignocellulosic fungus.
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