KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling

Area of Science:

• Systems Biology
• Metabolic Engineering
• Biotechnology

Background:

• KiMoSys is a public repository for experimental data including metabolite concentrations, protein abundances, and flux data.
• It integrates associated kinetic models and provides tools for constructing Ordinary Differential Equations (ODE)-based models of metabolic networks.

Purpose of the Study:

• To present an update of the KiMoSys repository with new data and enhanced features.
• To improve the accessibility and utility of systems biology data and models for researchers.

Main Methods:

• The update includes an improved web interface, a multi-filter mechanism, and data visualization tools.
• New features also comprise downloadable machine-readable data, an enhanced data submission tool, and an integrated kinetic model simulation environment.
• A unique persistent identifier system has been introduced.

Main Results:

• The updated KiMoSys repository offers improved data accessibility and integration capabilities.
• New tools and features facilitate data sharing, model construction, and data analysis.

Conclusions:

• The enhanced KiMoSys version strengthens its role as a valuable resource for the systems biology community.
• The improvements aim to foster further research and collaboration in the field.