<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>8</volume><submitter>Guido Santos</submitter><journal>Frontiers in cellular and infection microbiology</journal><pagination>159</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1805170001</full_dataset_link><repository>biostudies-other</repository><additional_accession>29868515</additional_accession><pubmed_authors>Rahuman S Malik-Sheriff</pubmed_authors><pubmed_authors>Guido Santos</pubmed_authors></additional><is_claimable>false</is_claimable><name>Santos2018 - Pneumococcal infection in alveoli</name><description>Multiscale mathematical model of pneumococcal alveolar infection. This model analyses the role of cellular and molecular interactions during the first 10 h after alveolar invasion of Streptococcus pneumoniae bacteria. By “multi-level” we mean that we simulated the interplay between different temporal and spatial scales in a single computational model. In this instance, we included the intracellular scale of processes driving lung epithelial cell activation together with the scale of cell-to-cell interactions between bacteria and alveolar macrophages at the alveolar tissue. The model combines agent-based modelling and ODE modelling strategies. The original article of the article can be found in https://doi.org/10.3389/fcimb.2018.00159.</description><dates><release>2018-05-17T00:00:00Z</release><modification>2025-07-14T17:05:27.681Z</modification><creation>2025-03-31T13:22:33.161Z</creation></dates><accession>MODEL1805170001</accession><cross_references><pubmed>29868515</pubmed></cross_references></HashMap>