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Other literature type . 2022
License: CC BY
Data sources: Datacite
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Other literature type . 2022
License: CC BY
Data sources: Datacite
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Additional file 1 of In silico-guided metabolic engineering of Bacillus subtilis for efficient biosynthesis of purine nucleosides by blocking the key backflow nodes

Authors: Deng, Aihua; Qiu, Qidi; Sun, Qinyun; Chen, Zhenxiang; Wang, Junyue; Zhang, Yu; Liu, Shuwen; +1 Authors

Additional file 1 of In silico-guided metabolic engineering of Bacillus subtilis for efficient biosynthesis of purine nucleosides by blocking the key backflow nodes

Abstract

Additional file 1: Table S1. Bacterial strains and plasmids used in this study. Table S2. Primers used in this study. Table S3. The properties of iBsu1103V2 model. Table S4. GDLS predicted knockout targets. Table S5. The specific reactions catalyzed by the enzymes encoded by drm and fbaA. Table S6. The metabolic fluxes of biomass and IMP by different methods. Figure S1. The metabolic pathway for purine synthesis. Figure S2. Inosine and hypoxanthine accumulation of engineered strains PN05, PN05-s0, PN05-s1 and PN05-s2. Figure S3. Cell growth of strains PN14, PN15 and PN16 during shake-flask cultivation. Figure S4. Cell growth of engineered strains PN16-p and PN18. Figure S5. Cell growth of engineered strains PN18, PN19 and PN20. Figure S6. Cell growth of engineered strain PN20 with different concentrations of xylose. Figure S7. Cell growth, residual glucose and inosine production of engineered strain PN20 in a 5-L fermenter. Figure S8. Cell growth, residual glucose and inosine production of engineered strain PN20 in minimum medium (MM).

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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