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RDBSB: a database for catalytic bioparts with experimental evidence.

Wan Liu1, Pingping Wang2, Xinhao Zhuang1

  • 1National 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.

Nucleic Acids Research
|October 3, 2024
PubMed
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Synthetic biology researchers can now access the Registry and Database of Bioparts for Synthetic Biology (RDBSB), a new resource for over 83,000 catalytic bioparts. This database centralizes crucial functional information, aiding in the design of metabolic pathways and cell factories.

Area of Science:

  • Synthetic biology
  • Metabolic engineering
  • Biotechnology

Background:

  • Catalytic bioparts are essential for designing biological systems and metabolic pathways.
  • Scattered information on biopart function hinders effective design of chassis and cell factories.
  • A centralized, comprehensive resource is needed to streamline synthetic biology research.

Purpose of the Study:

  • To develop a comprehensive registry and database of catalytic bioparts for synthetic biology.
  • To consolidate dispersed functional characterization information into a single, accessible platform.
  • To facilitate the design and optimization of biological systems and metabolic pathways.

Main Methods:

  • Curated a comprehensive resource of 83,193 catalytic bioparts with experimental evidence.

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  • Collected detailed qualitative and quantitative catalytic information, including activities, substrates, optimal pH and temperature, and chassis specificity.
  • Developed an interactive platform with search, visualization, and analysis tools, including biopart finder, structure prediction, and pathway design utilities.
  • Implemented a community submission system for data sharing and utilization.

    • Main Results:

    • RDBSB now contains 83,193 curated catalytic bioparts with extensive functional data.
    • The platform offers detailed catalytic parameters and advanced analysis tools.
    • Over 1000 catalytic bioparts have been contributed by the community.
    • RDBSB is freely available at https://www.biosino.org/rdbsb/.

    Conclusions:

    • RDBSB significantly enhances resources for synthetic biology pathway design.
    • The database serves as an essential tool for researchers in metabolic engineering and biotechnology.
    • Centralized data and advanced tools in RDBSB will accelerate the development of novel biological systems and cell factories.