Multi-Agent-Based Simulation of Mycobacterium Tuberculosis Growth

作者: Pablo Werlang , Michel Q. Fagundes , Diana F. Adamatti , Karina S. Machado , Andrea von Groll

DOI: 10.1007/978-3-642-54783-6_9

关键词: In silicoTuberculosisBiologyInfectious disease (medical specialty)Mycobacterium tuberculosisTuberculosis bacillusBiotechnologyComputational biologyOrganism

摘要: Tuberculosis is an infectious disease that still causes many deaths around the world nowadays. It caused by M. tuberculosis bacillus. The study of growth curve this organism relevant as it has wide applications in research. In work a Multi-Agent-Based Simulation proposed to pursue reproduction silico observed vitro curves. results are qualitatively compared with curves obtained recent methodology. promising and indicate chosen simulation methodology potential serve platform for testing different bacterial growing behaviour well bacteria under conditions.

参考文章(18)
K T Luh, M H Wu, M C Yu, T P Lin, H P Chien, Comparison of the BACTEC MGIT 960 with Löwenstein-Jensen medium for recovery of mycobacteria from clinical specimens. International Journal of Tuberculosis and Lung Disease. ,vol. 4, pp. 866- 870 ,(2000)
Alexis Drogoul, Jacques Ferber, Multi-Agent Simulation as a Tool for Modeling Societies: Application to Social Differentiation in Ant Colonies MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems. pp. 3- 23 ,(1992) , 10.1007/3-540-58266-5_1
J J Damato, M T Collins, M V Rothlauf, J K McClatchy, Detection of mycobacteria by radiometric and standard plate procedures. Journal of Clinical Microbiology. ,vol. 17, pp. 1066- 1073 ,(1983) , 10.1128/JCM.17.6.1066-1073.1983
R S Lambrecht, J F Carriere, M T Collins, A model for analyzing growth kinetics of a slowly growing Mycobacterium sp. Applied and Environmental Microbiology. ,vol. 54, pp. 910- 916 ,(1988) , 10.1128/AEM.54.4.910-916.1988
Rosaria Conte, Nigel Gilbert, Jaime Simão Sichman, MAS and Social Simulation: A Suitable Sommitment multi agent systems and agent based simulation. pp. 1- 9 ,(1998) , 10.1007/10692956_1
Edward D Chan, Michael D Iseman, Multidrug-resistant and extensively drug-resistant tuberculosis: a review. Current Opinion in Infectious Diseases. ,vol. 21, pp. 587- 595 ,(2008) , 10.1097/QCO.0B013E328319BCE6
M.I. Voskuil, K.C. Visconti, G.K. Schoolnik, Mycobacterium tuberculosis gene expression during adaptation to stationary phase and low-oxygen dormancy Tuberculosis. ,vol. 84, pp. 218- 227 ,(2004) , 10.1016/J.TUBE.2004.02.003
Daniel Barkan, Zhen Liu, James C. Sacchettini, Michael S. Glickman, Mycolic Acid Cyclopropanation is Essential for Viability, Drug Resistance, and Cell Wall Integrity of Mycobacterium tuberculosis Chemistry & Biology. ,vol. 16, pp. 499- 509 ,(2009) , 10.1016/J.CHEMBIOL.2009.04.001
P Van Helden, P Donald, K Duncan, N M Carroll, C Pheiffer, P Uys, N Beyers, Time to detection of Mycobacterium tuberculosis in BACTEC systems as a viable alternative to colony counting. International Journal of Tuberculosis and Lung Disease. ,vol. 12, pp. 792- 798 ,(2008)