Industrial biotechnology provides an efficient, sustainable solution for chemical production. However, designing biochemical pathways based solely on known reactions does not exploit its full potential. Enzymes are known to accept non-native substrates, which may allow novel, advantageous reactions. We have previously developed a computational program named Biological Network Integrated Computational Explorer (BNICE) to predict promiscuous enzyme activities and design synthetic pathways, using generalized reaction rules curated from biochemical reaction databases. Here, we use BNICE to design pathways synthesizing propionic acid from pyruvate. The currently known natural pathways produce undesirable by-products lactic acid and succinic acid, reducing their economic viability. BNICE predicted seven pathways containing four reaction steps or less, five of which avoid these by-products. Among the 16 biochemical reactions comprising these pathways, 44% were validated by literature references. More than 28% of these known reactions were not in the BNICE training dataset, showing that BNICE was able to predict novel enzyme substrates. Most of the pathways included the intermediate acrylic acid. As acrylic acid bioproduction has been well advanced, we focused on the critical step of reducing acrylic acid to propionic acid. We experimentally validated that Oye2p from Saccharomyces cerevisiae can catalyze this reaction at a slow turnover rate (10(-3) s(-1) ), which was unknown to occur with this enzyme, and is an important finding for further propionic acid metabolic engineering. These results validate BNICE as a pathway-searching tool that can predict previously unknown promiscuous enzyme activities and show that computational methods can elucidate novel biochemical pathways for industrial applications. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:303-311, 2016.

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Monitoring the assembly and disassembly of virus-like particles (VLPs) is important in developing effective VLP-based vaccines. We tried to establish a simple and rapid method to evaluate the status of VLP assembly using fluorescence spectroscopic analysis (FSA) while developing a VLP-based vaccine against porcine circovirus type 2b (PCV2b). We synthesized the gene coding for PCV2b capsid protein (CP). The CP was expressed in Escherichia coli in a soluble form, dialyzed into three different buffers, and assembled into VLPs. The immunogenicity of the VLPs was evaluated by an enzyme-linked immunosorbent assay using the sera of mice immunized with inactivated PCV2b. The VLP assembly was detected using transmission electron microscopy and FSA. The assembled VLPs showed a distinct FSA curve with a peak at 320 nm. We found that the assembly status was related to the immunogenicity, fluorescence intensity, and morphology of the VLP. The FSA assay was able to monitor the various denatured statuses of PCV2b VLPs treated with β-mercaptoethanol or β-mercaptoethanol plus urea. We have demonstrated that FSA can be used to detect the assembly of PCV2b VLPs produced in E. coli. This provides a simple solution for monitoring VLP assembly during the production of VLP-based vaccines.