Liu Wan, Wang Pingping, Zhuang Xinhao, Ling Yunchao, Liu Haiyan, Wang Sheng, Yu Haihan, Ma Liangxiao, Jiang Yuguo, Zhao Guoping, Yan Xing, Zhou Zhihua, Zhang Guoqing
National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
CAS-Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, 300 Feng Lin Road, Shanghai 200032, China.
Nucleic Acids Res. 2025 Jan 6;53(D1):D709-D716. doi: 10.1093/nar/gkae844.
Catalytic bioparts are fundamental to the design, construction and optimization of biological systems for specific metabolic pathways. However, the functional characterization information of these bioparts is frequently dispersed across multiple databases and literature sources, posing significant challenges to the effective design and optimization of specific chassis or cell factories. We developed the Registry and Database of Bioparts for Synthetic Biology (RDBSB), a comprehensive resource encompassing 83 193 curated catalytic bioparts with experimental evidences. RDBSB offers their detailed qualitative and quantitative catalytic information, including critical parameters such as activities, substrates, optimal pH and temperature, and chassis specificity. The platform features an interactive search engine, visualization tools and analysis utilities such as biopart finder, structure prediction and pathway design tools. Additionally, RDBSB promotes community engagement through a catalytic bioparts submission system to facilitate rapid data sharing and utilization. To date, RDBSB has supported the contribution of >1000 catalytic bioparts. We anticipate that the database will significantly enhance the resources available for pathway design in synthetic biology and serve essential tools for researchers. RDBSB is freely available at https://www.biosino.org/rdbsb/.
催化生物部件对于特定代谢途径的生物系统的设计、构建和优化至关重要。然而,这些生物部件的功能表征信息常常分散在多个数据库和文献来源中,这给特定底盘或细胞工厂的有效设计和优化带来了重大挑战。我们开发了合成生物学生物部件注册与数据库(RDBSB),这是一个全面的资源库,包含83193个经过整理且有实验证据的催化生物部件。RDBSB提供了它们详细的定性和定量催化信息,包括活性、底物、最佳pH值和温度以及底盘特异性等关键参数。该平台具有交互式搜索引擎、可视化工具以及分析实用程序,如生物部件查找器、结构预测和途径设计工具。此外,RDBSB通过催化生物部件提交系统促进社区参与,以促进快速的数据共享和利用。迄今为止,RDBSB已支持了1000多个催化生物部件的贡献。我们预计该数据库将显著增加合成生物学中可用于途径设计的资源,并为研究人员提供重要工具。RDBSB可在https://www.biosino.org/rdbsb/免费获取。