<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL2207280001?filename=chassagnole1hyb.xml</Xml></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Models</omics_type><modelFormat>SBML</modelFormat><tokenised_name>Pinto2022   Hybrid SBML/ANN model</tokenised_name><submitter>José Pinto</submitter><curationStatus>Non-curated</curationStatus><modellingApproach>other</modellingApproach><submissionId>MODEL2207280001</submissionId><levelVersion>L2V4</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL2207280001</full_dataset_link><submitter_mail>jmm.pinto@campus.fct.unl.pt</submitter_mail><submitter_affiliation>FCT-UNL, LAQV</submitter_affiliation><isPrivate>false</isPrivate><repository>BioModels</repository></additional><is_claimable>false</is_claimable><name>Pinto2022 - Hybrid SBML/ANN model</name><description>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</description><dates><last_modification>2022-07-28</last_modification><publication>2022-07-29</publication><submission>2022-07-28</submission></dates><accession>MODEL2207280001</accession><cross_references><mamo>OTHER</mamo></cross_references></HashMap>