GuidelineJournal of integrative bioinformatics2015
The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 1 Core.
Guideline in Journal of integrative bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)Autophagy · 2021Guideline
- SBML Level 3 package: Hierarchical Model Composition, Version 1 Release 3.Journal of integrative bioinformatics · 2015Guideline
- From mechanistic models to artificial intelligence: exploring the potential of digital twins in geriatric oncology.Frontiers in artificial intelligence · 2026Article
- Integrating metagenome-scale metabolic models and metabolomics to explore candidate biochemical interactions in cultivatedISME communications · 2026Article
- RBC-GEM: A genome-scale metabolic model for systems biology of the human red blood cell.PLoS computational biology · 2025Article
- The Constrained Disorder Principle Overcomes the Challenges of Methods for Assessing Uncertainty in Biological Systems.Journal of personalized medicine · 2024Review
- Article
- Non-coding RNA notations, regulations and interactive resources.Functional & integrative genomics · 2024Review
- BioRxToolbox: a computational framework to streamline genetic circuit design in molecular data communications.Synthetic biology (Oxford, England) · 2024Article
- Reconciliation and evolution of Penicillium rubens genome-scale metabolic networks-What about specialised metabolism?PloS one · 2023Article
- Genome-scale metabolic modelling enables deciphering ethanol metabolism via the acrylate pathway in the propionate-producer Anaerotignum neopropionicum.Microbial cell factories · 2022Article
- Article
- An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism.NPJ systems biology and applications · 2021Article
- Human intestinal lipid storage through sequential meals reveals faster dinner appearance is associated with hyperlipidemia.JCI insight · 2021Observational
- Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus.NPJ systems biology and applications · 2021Review
- The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases.Metabolites · 2021Article
- MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics.PLoS computational biology · 2021Article
- FBA reveals guanylate kinase as a potential target for antiviral therapies against SARS-CoV-2.Bioinformatics (Oxford, England) · 2020Article
- A biochemical network modeling of a whole-cell.Scientific reports · 2020Article
- SBML Level 3: an extensible format for the exchange and reuse of biological models.Molecular systems biology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Computational models can help researchers to interpret data, understand biological function, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that can be exchanged between different software systems. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Version 1 of SBML Level 3 Core. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project web site, http://sbml.org/.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.