Modeling innate immune response to early mycobacterium infection

Computational and Mathematical Methods in Medicine

Volumn 2012, Issue , 2012, Pages

  Carvalho, Rafael V ^a   Kleijn, Jetty ^a   Meijer, Annemarie H ^b   Verbeek, Fons J ^a  

^a LEIDEN UNIVERSITY   (Netherlands)

^b LEIDEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL METHODS; PETRI NETS;

EXPERIMENTAL APPROACHES; GRANULOMA FORMATION; HIGH LEVEL OF ABSTRACTION; HOST-PATHOGEN INTERACTIONS; INNATE IMMUNE RESPONSE; INNATE IMMUNE SYSTEMS; MYCOBACTERIAL INFECTION; TUBERCULOSIS INFECTION;

IMMUNE SYSTEM;

ANIMAL EXPERIMENT; ARTICLE; CELL COMMUNICATION; INNATE IMMUNITY; MODEL; MYCOBACTERIOSIS; NONHUMAN; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; HOST PATHOGEN INTERACTION; HUMAN; IMMUNOLOGY; METABOLISM; METHODOLOGY; MYCOBACTERIUM TUBERCULOSIS; PATHOPHYSIOLOGY; PRENATAL DEVELOPMENT; ZEBRA FISH;

DANIO RERIO; MYCOBACTERIUM;

ANIMALS; CELL COMMUNICATION; COMPUTATIONAL BIOLOGY; HOST-PATHOGEN INTERACTIONS; HUMANS; IMMUNITY, INNATE; MODELS, IMMUNOLOGICAL; MYCOBACTERIUM INFECTIONS; MYCOBACTERIUM TUBERCULOSIS; ZEBRAFISH;

MLCS; MLOWN;

EID: 84872149710     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2012/790482     Document Type: Article

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