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BioTRY: A Comprehensive Knowledge Base for Titer, Rate, and Yield of Biosynthesis
论文作者 Tian, Y; Yang, LW; Ding, SZ; Zhang, DC; Yuan, L; Liu, ZG; Hu, QN
期刊/会议名称 ACS SYNTHETIC BIOLOGY
论文年度 2024
论文类别
摘要 Synthetic biology is rapidly evolving into a data-intensive science that increasingly relies on massive data sets; one of its applications is the evaluation of the economic viability of fermentation processes. However, the key economic indicators, namely titer, rate, and yield (TRY), which respectively reflect the downstream processing, reactor size, and raw material costs, are not well captured in bioinformatics databases. In this paper, we present BioTRY, an intuitive and user-friendly tool that contains >5,000 biochemicals and >3,800 strains, along with over 52,000 corresponding TRY entries with original references. It is freely available at http://www.synbiohealth.cn/biotry. To our knowledge, BioTRY is the first available database on biosynthesis TRY data from original research. We anticipate that BioTRY will become a useful tool that aids researchers and decision-makers in understanding the current development state of biosynthesis and allows them to foresee potential prospects and applications for biosynthesis.
影响因子 3.7