Mugwanda, KanganwiroTakundwa, Mutsa MDicks, LMTThimiri Govindaraj, Deepak B2025-10-022025-10-022025-122452-0144https://doi.org/10.1016/j.genrep.2025.102335http://hdl.handle.net/10204/14432Genome-scale metabolic models (GEMs) are important tools for predicting the metabolic behaviour of microorganisms, including probiotics, under diverse environmental conditions and assessing the impact of genome modifications. In this study, a draft genome-scale metabolic model for Lacticaseibacillus casei ATCC 393 was constructed using the ModelSEED pipeline. The draft model was validated through simulations in OptFlux 3. The resulting ilcaseidsm20011 model includes 555 genes, 73 metabolic pathways, 950 reactions, and 1095 compounds. This model provides a foundational framework for understanding L. casei ATCC 393 metabolism, serving as a valuable resource for further studies on probiotic functionality and rational metabolic engineering.FulltextenGenome-Scale Metabolic modelsGEMsLactobacillus caseiL. caseiL. casei ATCC 393ModelSEEDArticleN/A