底盘
生物
可视化
计算生物学
数据库
资源(消歧)
系统生物学
合成生物学
数据可视化
生化工程
计算机科学
数据科学
数据挖掘
工程类
计算机网络
结构工程
作者
Wan Liu,Xiaogang Wang,Xue Zhuang,Yunchao Ling,Haiyan Liu,Sheng Wang,Haihan Yu,Liangxiao Ma,Yuguo Jiang,Guoping Zhao,Xing Yan,Zhihua Zhou,Guoqing Zhang
摘要
Abstract 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/.
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