Monamorn PrecharattanaMahidol University2018-12-112019-03-142018-12-112019-03-142016-02-01Journal of Bioinformatics and Computational Biology. Vol.14, No.1 (2016)17576334021972002-s2.0-84959319386https://repository.li.mahidol.ac.th/handle/20.500.14594/43030© 2016 Imperial College Press. Recently, the description of immune response by discrete models has emerged to play an important role to study the problems in the area of human immunodeficiency virus type 1 (HIV-1) infection, leading to AIDS. As infection of target immune cells by HIV-1 mainly takes place in the lymphoid tissue, cellular automata (CA) models thus represent a significant step in understanding when the infected population is dispersed. Motivated by these, the studies of the dynamics of HIV-1 infection using CA in memory have been presented to recognize how CA have been developed for HIV-1 dynamics, which issues have been studied already and which issues still are objectives in future studies.Mahidol UniversityBiochemistry, Genetics and Molecular BiologyComputer ScienceStochastic modeling for dynamics of HIV-1 infection using cellular automata: A reviewConference PaperSCOPUS10.1142/S021972001630001X