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Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.
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http://dx.doi.org/10.15252/msb.20199110 | DOI Listing |
Cureus
July 2025
Division of Emergency Medicine, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, USA.
Objective: To design and implement a simulation-based mastery learning (SBML) curriculum utilizing deliberate practice (DP) for neonatal intubation in the delivery room setting. We sought to investigate the impact this curriculum would have on performance and skill retention.
Methods: A prospective single-group SBML with DP intervention to improve intubation success was implemented from 2019 to 2022.
bioRxiv
May 2025
Department of Bioengineering, University of Washington, Seattle, 98195, WA, USA.
SBMLNetwork is an open-source software library that makes the SBML Layout and Render packages practical for standards-based visualization of biochemical models. Current tools often manage model visualization data in custom-designed, tool-specific formats and store it separately from the model itself, hindering interoperability, reproducibility, and the seamless integration of visualization with model data. SBMLNetwork addresses these limitations by building directly on the SBML Layout and Render specifications, automating the generation of standards-compliant visualization data, offering a modular implementation with broad integration support, and providing a robust API tailored to the needs of systems biology researchers.
View Article and Find Full Text PDFJ Gen Intern Med
July 2025
Internal Medicine Training Program, Department of Internal Medicine, Hospital Medicine, Virginia Commonwealth University School of Medicine/VCU Health, Richmond, VA, USA.
Background: Select graduating residents across various specialties will need to perform bedside procedures as fellows, as supervising faculty, or as practicing providers. Therefore, the development of a focused and structured curriculum is needed to enhance procedure training.
Aim: We aim to introduce reproducible frameworks and tools for procedure training.
Mamm Genome
June 2025
Department of Biotechnology, National Institute of Technology Warangal, Warangal, Telangana, India.
Non-Small Cell lung cancer (NSCLC) is known for its fast progression, metastatic potency, and a leading cause of mortality globally. At diagnosis, approximately 30-40% of NSCLC patients already present with metastasis. Epithelial to mesenchymal transition (EMT) is a developmental program implicated in cancer progression and metastasis.
View Article and Find Full Text PDFWorld J Surg
January 2025
Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Background: Chest tube insertions (CTI) have a high complication rate, warranting a dedicated Simulation-Based Mastery Learning (SBML) curriculum to acquire technical skills. This randomized controlled trial compares residents' skills in CTI after completing a SBML curriculum with those enrolled in a traditional residency program.
Methods: Junior residents were baseline tested on cognitive and technical skills (Thiel bodies) before randomization into an intervention and control group.