RDBSB: A Database for Catalytic Bioparts with Experimental Evidence
Author Information
Author(s): 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
Primary Institution: Chinese Academy of Sciences
Hypothesis
The study aims to create a comprehensive database of catalytic bioparts to facilitate the design and optimization of biological systems.
Conclusion
The RDBSB database provides over 83,000 curated catalytic bioparts with experimental evidence, significantly enhancing resources for synthetic biology research.
Supporting Evidence
- The RDBSB contains 83,193 curated catalytic bioparts with experimental evidence.
- It offers detailed qualitative and quantitative catalytic information including activities, substrates, optimal pH and temperature.
- The platform features tools for biopart finding, structure prediction, and pathway design.
- RDBSB has supported the contribution of over 1,000 catalytic bioparts.
- The database is freely available for researchers to enhance synthetic biology resources.
Takeaway
The RDBSB is like a big library where scientists can find special tools (catalytic bioparts) to help them build and improve living things in a lab.
Methodology
The database was developed by integrating data from multiple sources, curating bioparts based on experimental validation, and providing tools for data visualization and analysis.
Limitations
The database may not cover all possible catalytic bioparts and relies on the accuracy of the integrated data from various sources.
Digital Object Identifier (DOI)
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