All Stories

  1. Genome-scale metabolic model of Staphylococcus epidermidis ATCC 12228 matches in vitro conditions
  2. MCC: Automated Mass and Charge Curation at Genome-Scale Applied toC. tuberculostearicum
  3. Exploring the metabolic profile of A. baumannii for antimicrobial development using genome-scale modeling
  4. Genome-scale model of Rothia mucilaginosa predicts gene essentialities and reveals metabolic capabilities
  5. Metabolic Modeling Elucidates Phenformin and Atpenin A5 as Broad-Spectrum Antiviral Drugs
  6. Perspectives on computational modeling of biological systems and the significance of the SysMod community
  7. Genome-scale metabolic model ofStaphylococcus epidermidisATCC 12228 matchesin vitroconditions
  8. Metabolic Modeling Elucidates Phenformin and Atpenin A5 as Broad-Spectrum Antiviral Drugs
  9. Genome-Scale Modeling ofRothia mucilaginosaReveals Insights into Metabolic Capabilities and Therapeutic Strategies for Cystic Fibrosis
  10. Exploring the metabolic profiling ofA. baumanniifor antimicrobial development using genome-scale modelling
  11. Advancements in computational modelling of biological systems: seventh annual SysMod meeting
  12. SBOannotator: a Python tool for the automated assignment of systems biology ontology terms
  13. Genome-scale metabolic models consistently predictin vitrocharacteristics ofCorynebacterium striatum
  14. standard-GEM: standardization of open-source genome-scale metabolic models
  15. New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cells
  16. SBOannotator: a Python Tool for the Automated Assignment of Systems Biology Ontology Terms
  17. Genome-scale model of Pseudomonas aeruginosa metabolism unveils virulence and drug potentiation
  18. New Workflow Predicts Drug Targets Against SARS-CoV-2 via Metabolic Changes in Infected Cells
  19. Hierarchical modelling of microbial communities
  20. Metabolic Modeling Elucidates Phenformin and Atpenin A5 as Broad-Spectrum Antiviral Drugs
  21. Computational modelling in health and disease: highlights of the 6th annual SysMod meeting
  22. New Workflow Predicts Drug Targets Against SARS-CoV-2 via Metabolic Changes in Infected Cells
  23. New Workflow Predicts Drug Targets Against SARS-CoV-2 via Metabolic Changes in Infected Cells
  24. A Computational Model of Bacterial Population Dynamics in Gastrointestinal Yersinia enterocolitica Infections in Mice
  25. COVID‐19 Disease Map, a computational knowledge repository of virus‐host interaction mechanisms
  26. High-Quality Genome-Scale Reconstruction of Corynebacterium glutamicum ATCC 13032
  27. SBMLWebApp: Web-Based Simulation, Steady-State Analysis, and Parameter Estimation of Systems Biology Models
  28. An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism
  29. COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
  30. The systems biology simulation core library
  31. SBMLWebApp: Web-based Simulation, Steady-State Analysis, and Parameter Estimation of Systems Biology Models
  32. 114 highly specific computer models of the threatening pathogen Staphylococcus aureus
  33. The community for data-driven computational modelling and multi-scale analysis of biological systems
  34. Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms GK1 as Potential Antiviral Target
  35. Genome-Scale Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms Guanylate Kinase as Robust Potential Antiviral Target
  36. Genome-scale modeling ofPseudomonas aeruginosaPA14 unveils its broad metabolic capabilities and role of metabolism in drug potentiation
  37. First Genome-Scale Metabolic Model of Dolosigranulum pigrum Confirms Multiple Auxotrophies
  38. <span data-preserver-spaces="true">Curating and Comparing 114 Strain-Specific Genome-Scale Metabolic Models of <em><span data-preserver-spaces="true">Staphylococcus aureus</em>
  39. An updated genome-scale metabolic network reconstruction ofPseudomonas aeruginosaPA14 to characterize mucin-driven shifts in bacterial metabolism
  40. Overview: Standards for Modeling in Systems Medicine
  41. The Systems Biology Graphical Notation: Current Status and Applications in Systems Medicine
  42. Clinical Applications of Metabolic Models in SBML Format
  43. The Systems Biology Simulation Core Library
  44. A computer model identifies a human enzyme as a potential target to treat COVID-19
  45. Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19
  46. Computational Model Informs Effective Control Interventions against Y. enterocolitica Co-Infection
  47. Genome-Scale Metabolic Modeling of Escherichia coli and Its Chassis Design for Synthetic Biology Applications
  48. COVID-19 Disease Map, a computational knowledge repository of SARS-CoV-2 virus-host interaction mechanisms
  49. A Computational Model to Inform Effective Control Interventions against Yersinia enterocolitica Coinfection
  50. Model-based prediction of bacterial population dynamics in gastrointestinal infection
  51. SBML Level 3: an extensible format for the exchange and reuse of biological models
  52. Community standards to facilitate development and address challenges in metabolic modeling
  53. Author Correction: COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms
  54. Visualizing metabolic network dynamics through time-series metabolomic data
  55. Systems biology markup language (SBML) level 3 package: multistate, multicomponent and multicompartment species, version 1, release 2
  56. A file format to store and distribute maps of biological processes.
  57. We want to collaborate on exchanging what we know on how the new coronavirus works
  58. Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing
  59. MEMOTE for standardized genome-scale metabolic model testing
  60. BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree
  61. Community standards to facilitate development and address challenges in metabolic modeling
  62. The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2
  63. Systems Biology Graphical Notation: Process Description language Level 1 Version 2.0
  64. The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes
  65. Insights into Dynamic Network States Using Metabolomic Data
  66. Harmonizing semantic annotations for computational models in biology
  67. Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655
  68. The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 1 Core
  69. The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core
  70. Recon3D enables a three-dimensional view of gene variation in human metabolism
  71. Harmonizing semantic annotations for computational models in biology
  72. A Padawan Programmer’s Guide to Developing Software Libraries
  73. Visualization and creation of biochemical networks with Escher
  74. Evaluation of rate law approximations in bottom-up kinetic models of metabolism
  75. Synthetic promoters capable of driving robust nuclear gene expression in the green alga Chlamydomonas reinhardtii
  76. ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis
  77. Coordinating Role of RXRα in Downregulating Hepatic Detoxification during Inflammation Revealed by Fuzzy-Logic Modeling
  78. BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
  79. Do genome-scale models need exact solvers or clearer standards?
  80. SBMLsqueezer 2: context-sensitive creation of kinetic equations in biochemical networks
  81. Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways
  82. Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data
  83. JSBML 1.0: providing a smorgasbord of options to encode systems biology models: Table 1.
  84. Cooperative development of logical modelling standards and tools with CoLoMoTo
  85. SBMLSimulator: A Java Tool for Model Simulation and Parameter Estimation in Systems Biology
  86. Improving Collaboration by Standardization Efforts in Systems Biology
  87. Controlled vocabularies and semantics in systems biology
  88. TFpredict and SABINE: Sequence-Based Prediction of Structural and Functional Characteristics of Transcription Factors
  89. Parkinson’s disease: dopaminergic nerve cell model is consistent with experimental finding of increased extracellular transport of α-synuclein
  90. GRN2SBML: automated encoding and annotation of inferred gene regulatory networks complying with SBML
  91. Path2Models: large-scale generation of computational models from biochemical pathway maps
  92. SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools
  93. Metabolic Networks
  94. Parameter Estimation, Metabolic Network Modeling
  95. Precise generation of systems biology models from KEGG pathways
  96. The systems biology simulation core algorithm
  97. Qualitative translation of relations from BioPAX to SBML qual
  98. CySBML: a Cytoscape plugin for SBML
  99. ProDGe: investigating protein-protein interactions at the domain level
  100. Inferring statin-induced gene regulatory relationships in primary human hepatocytes
  101. KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats
  102. JSBML: a flexible Java library for working with SBML
  103. Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization
  104. Automating Mathematical Modeling of Biochemical Reaction Networks
  105. ModuleMaster: A new tool to decipher transcriptional regulatory networks
  106. BowTieBuilder: modeling signal transduction pathways
  107. SBML2LATEX: Conversion of SBML files into human-readable reports
  108. Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies
  109. BioJava: an open-source framework for bioinformatics
  110. SBMLsqueezer: A CellDesigner plug-in to generate kinetic rate equations for biochemical networks
  111. Benchmarking evolutionary algorithms on convenience kinetics models of the valine and leucine biosynthesis in C. glutamicum
  112. Comparing various evolutionary algorithms on the parameter optimization of the valine and leucine biosynthesis in corynebacterium glutamicum
  113. INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS