Dear Members of the SBML Community,
I hope you are doing well.
I am currently working on constructing Boolean network models for pathway simulation (e.g., knock-in/knock-out analysis) using BoolNet. My goal is to derive these models from curated pathway resources.
More specifically, I am now focusing on pathways from the KEGG database (for example tyrosine_metabolism pathway at https://www.kegg.jp/pathway/map00350) and would like to convert KEGG pathway representations (KGML format) into either SBML (preferably SBML-qual) or SBGN formats, which are more suitable for downstream logical modeling.
I previously explored using KEGGtranslator for KGML to SBML/SBGN conversion; however, it appears to be outdated and no longer reliably supported. As a result, I am currently facing challenges in establishing a robust and reproducible workflow.
I would greatly appreciate your guidance on the following:
Are there currently maintained tools or pipelines for converting KEGG KGML files into SBML (especially SBML-qual) or SBGN formats?
Are there recommended best practices for transforming KEGG pathways into Boolean or logical models?
Is there an alternative workflow (e.g., via BioPAX, Cytoscape, or other intermediate formats) that you would suggest for this purpose?
My overall aim is to establish a pipeline such as:
KGML (KEGG) → SBML/SBGN → Boolean network → simulation in BoolNet
If anyone has experience with a similar workflow or can recommend updated tools or strategies, I would be very grateful for your insights.
Thank you very much for your time and support.
Kind regards,
Muhammad Kabir