BIO-LGCA

In computational and mathematical biology, a biological lattice-gas cellular automaton (BIO-LGCA) is a discrete model for moving and interacting biological agents,[1] a type of cellular automaton. The BIO-LGCA is based on the lattice-gas cellular automaton (LGCA) model used in fluid dynamics. A BIO-LGCA model describes cells and other motile biological agents as point particles moving on a discrete lattice, thereby interacting with nearby particles. Contrary to classic cellular automaton models, particles in BIO-LGCA are defined by their position and velocity. This allows to model and analyze active fluids and collective migration mediated primarily through changes in momentum, rather than density. BIO-LGCA applications include cancer invasion[2] and cancer progression.[3]

  1. ^ Deutsch, Andreas; Nava-Sedeño, Josué Manik; Syga, Simon; Hatzikirou, Haralampos (2021-06-15). "BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration". PLOS Computational Biology. 17 (6): e1009066. Bibcode:2021PLSCB..17E9066D. doi:10.1371/journal.pcbi.1009066. ISSN 1553-7358. PMC 8232544. PMID 34129639.
  2. ^ Reher, David; Klink, Barbara; Deutsch, Andreas; Voss-Böhme, Anja (2017-08-11). "Cell adhesion heterogeneity reinforces tumour cell dissemination: novel insights from a mathematical model". Biology Direct. 12 (1): 18. doi:10.1186/s13062-017-0188-z. ISSN 1745-6150. PMC 5553611. PMID 28800767.
  3. ^ Böttger, Katrin; Hatzikirou, Haralambos; Voss-Böhme, Anja; Cavalcanti-Adam, Elisabetta Ada; Herrero, Miguel A.; Deutsch, Andreas (2015-09-03). Alber, Mark S (ed.). "An Emerging Allee Effect Is Critical for Tumor Initiation and Persistence". PLOS Computational Biology. 11 (9): e1004366. Bibcode:2015PLSCB..11E4366B. doi:10.1371/journal.pcbi.1004366. ISSN 1553-7358. PMC 4559422. PMID 26335202.