Unknown

Dataset Information

0

Pinto2022 - Hybrid SBML/ANN model

ABSTRACT: This model picks up an already published mechanistic model by Chassagnole et al. (2001) for the threonine synthesis pathway model of E. coli and turns it into a hybrid model with a deep neural network, fully compatible with the SBML format

SUBMITTER: José Pinto 

PROVIDER: MODEL2207280001 | biostudies-other |

SECONDARY ACCESSION(S): OTHER

REPOSITORIES: biostudies-other

Json Xml

Similar Datasets

Unknown SBML2HYB: a Python interface for SBML compatible hybrid modeling.
| S-EPMC9889961 | biostudies-literature
Unknown An automated model annotation system (AMAS) for SBML models.
| S-EPMC10628433 | biostudies-literature
Unknown An Automated Model Annotation System (AMAS) for SBML Models.
| S-EPMC10370092 | biostudies-literature
Unknown ASPASIA: A toolkit for evaluating the effects of biological interventions on SBML model behaviour.
| S-EPMC5315406 | biostudies-literature
Unknown libsbmljs-Enabling web-based SBML tools.
| S-EPMC7919167 | biostudies-literature
Unknown libAnnotationSBML: a library for exploiting SBML annotations.
| S-EPMC2734318 | biostudies-literature
Unknown SensA: web-based sensitivity analysis of SBML models.
| S-EPMC4173016 | biostudies-literature
Models Pinto2022 - Hybrid SBML/ANN model
2022-07-29 | MODEL2207280001 | BioModels
Unknown Annotation-based feature extraction from sets of SBML models.
| S-EPMC4405863 | biostudies-literature
Unknown tidysbml: R/Bioconductor package for SBML extraction into dataframes.
| S-EPMC11479578 | biostudies-literature