<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Luis Ubaldo Aguilera de Lira</submitter><journal>BMC Systems Biology</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1608100000</full_dataset_link><repository>biostudies-other</repository><additional_accession>10.1186/s12918-017-0406-4</additional_accession><pubmed_authors>Luis Ubaldo Aguilera de Lira</pubmed_authors></additional><is_claimable>false</is_claimable><name>Aguilera2017 - Model for gene constitutive expression circuit</name><description>&lt;notes xmlns="http://www.sbml.org/sbml/level2/version4">      &lt;body xmlns="http://www.w3.org/1999/xhtml">        &lt;pre>Model destription:The model describes the stochastic dynamics of two variables, protein and mRNA of a gene with constitutive expression. Publication:A New Efficient Approach to Fit Stochastic Models on the Basis of High-throughput Experimental Data Using a Model of IRF7 Gene Expression as Case StudyAuthorsLuis U. Aguilera, Christoph Zimmer and Ursula Kummer.&lt;/pre>      &lt;/body>    &lt;/notes></description><dates><release>2016-08-10T00:00:00Z</release><modification>2025-07-14T17:56:18.987Z</modification><creation>2025-03-30T22:37:59.793Z</creation></dates><accession>MODEL1608100000</accession><cross_references><mamo>MAMO_0000046</mamo><doi>10.1186/s12918-017-0406-4</doi></cross_references></HashMap>