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Pro-/Seminar: Modeling of Bacterial Resistance

General Information

Lecturer: Prof. Dr. Volkhard Helms

Dates: March 11 - March 15, 12:30 pm - 7:00 pm, Building E2 1, room 007

Place: building E2 1, room 007

Tutors: Ruslan Akulenko, Mohamed Hamed, Po-Hsien Lee, Nadine Schaadt

Knowledge corresponding to semester 4 (proseminar) or knowledge corresponding to BSc degree (seminar)

Preliminary discussion and placement of the topics: Friday, February 1, 4:00 pm, E2 1, room 007; the topics are going to be announced one week before.

Condition for certification: successful presentation, regular participation.

Maximum number of participants: to be decided

5 (proseminar) or 7 (seminar)

Important Hints for your seminar presentation.

If you want us to print your handouts, please send them to Kerstin Gronow-Pudelek until 10 am

on the day of your talk (for those who give their talk on Friday, please send the handouts also until Thursday). 

Here you can find the grades of the seminar talks.

Timetable of the talks, March 11 - 15, 2013:

Monday Tuesday Wednesday Thursday Friday
12:30 Koch (4)
Yuan (1)
Chen (22)
Wolf (15)
Dehghani (21)
01:30 Kaloyanova (13)
Arslan (5)
Fritz (10)
Oruganti (32)
Martens (9)
02:45 Feldmann (3)
Riehm (6)
Becker (8) Mang (29)
Speicher (31)
Savenko (30)
Malek (28)
Kirsten (27) Faraq (12)
Ambat (7)
Verma (25)
Ali (24) Xiao (19) Chowdhary (18)

Javed (11)




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  10. Luciani F, Sisson SA, Jiang H, Francis AR, and Tanaka MM (2009) PNAS 106, 14711-14715. The epidemiological fitness cost of drug resistance in Mycobacterium tuberculosis.
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  14. Kouyos RD, Abel zur Wiesch P, and Bonhoeffer S (2011) PLoS Pathogens, 7, e1001334. On being the right size: The impact of population size and stochastic effects on the evolution of drug resistance in hospitals and the community.
  15. Wozniak M, Tiuryn J, and Wong L (2012) BMC Genomics, 13:S23. An approach to identifying drug resistance associated mutations in bacterial strains.
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  19. Ruffing U, Akulenko R, Bischoff M, Helms V, Herrmann M, and von Müller L (2012) PLoS ONE, 7, e52487. Matched-cohort DNA microarray diversity analysis of methicillin sensitive and methicillin resistant Staphylococcus aureus isolates from hospital admission patients.
  20. Blower SM and Chou T (2004) Nature Medicine, 10 (10), 1111-1116, DOI: 10.1038/nm1102.  The emergence of the 'hot zones': tuberculosis and the amplification dynamics of drug resistance.
  21. Izu A, Cohen T, Mitnick C, Murray M, De Gruttola V (2011) Stat Med. 30, 2708-20. DOI: 10.1002/sim.4287.
    Bayesian methods for fitting mixture models that characterize branching tree processes: An application to development of resistant TB strains.
  22. Wakamoto Y, Dhar N, Chait R, Schneider K, Signorino-Gelo F, Leibler S, McKinney JD, Science 2013, 339, 91-95 DOI: 10.1126/science.1229858 Dynamic persistence of antibiotic-stressed mycobacteria.
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  25. Korves T and Colosimo ME (2009) Trends in Microbiology, 17, 279–285, Controlled vocabularies for microbial virulence factors.
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  27. Padiadpu J, Vashisht R, and Chandra N (2010) Systems and Synthetic Biology, 4, 311-322. Protein–protein interaction networks suggest different targets have different propensities for triggering drug resistance.
  28. Zheng L-L, Li Y-X, Ding J, Guo X-K, Feng K-Y, et al. (2012) PLoS ONE 7(8): e42517. A Comparison of Computational Methods for Identifying Virulence Factors. DOI:10.1371/journal.pone.0042517
  29. Zhu, W, Zhang, Y, Sinko, W, Hensler, ME, Olson, J, et al. (2013), 110, 123-128. Antibacterial drug leads targeting isoprenoid biosynthesis. 
  30. Nübel, U, Nachtnebel, M, Falkenhorst, G, Benzler, J, Hecht, J, et al. () PLoS ONE 8(1): e54898. doi:10.1371/journal.pone.0054898. MRSA transmission on a neonatal intensive care unit: epidemiological and genome-based phylogenetic analyses.
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