Dear all,

Please help me spread the word about a post-doc position available my group in 
Lund University:

https://atkinson-lab.com/post-doctoral-scholarship-in-bioinformatics/

In the Atkinson lab our aim is to make fundamental discoveries about the 
evolution of protein function and structure. We work mainly with bioinformatic 
methods, developing our own tools and taking advantage of the huge amounts of 
available genome and predicted proteome sequences. One of our main research 
directions concerns toxin-antitoxin (TA) systems of bacteria and 
bacteriophages. Our studies of toxSAS TA enzymes that dramatically inhibit 
bacterial growth though producing poisonous nucleotides, or modifying tRNA have 
recently been recently published in PNAS [1] and Molecular Cell [2], 
respectively, and our recent discovery of a hyperpromiscuous antitoxin domain 
that we have named Panacea is currently in revision [3]. As a mechanism of 
defence against bacteriophages, TAs have significance for developing new 
biotechnological tools, as well as understanding and eventually overcoming 
natural barriers to phage therapy for treating antibiotic resistant infections. 
Our work on toxin-antitoxins, and their evolution, structure, function and 
biotechnological applications was recently supported by a generous project 
grant from the Knut and Alice Wallenberg foundation 
(https://kaw.wallenberg.org/grundforskning-djupt-inne-i-bakteriernas-arvsmassa).


The post-doctoral scholarship will be an opportunity for scientific development 
in protein bioinformatics and skill acquisition in coding and web development. 
Building on the success of our gene-neighbourhood analysis Python tool FlaGs 
(www.webflags.se<http://www.webflags.se>) [4], you will be participating in the 
development of bioinformatic methods for the discovery of new exciting biology. 
The bioinformatic predictions will be tested experimentally in our group and 
through our collaborative network.

References

  1.  Jimmy, S. et al. Proc Natl Acad Sci U S A 117, 10500-10510 (2020).
  2.  Kurata, T. et al. Molecular Cell 81(15): 3160-3170
  3.  Kurata, T. et al. 
biorxiv.org/content/10.1101/2021.05.07.442387v1<http://biorxiv.org/content/10.1101/2021.05.07.442387v1>
 (2021).
  4.  Saha, C. K. et al. Bioinformatics 37, 1312-1314 (2021).

For more information email me at 
[email protected]<mailto:[email protected]>

Best wishes,

Gemma C. Atkinson
Associate Professor
Department of Experimental Medicine, Lund University, Sweden
https://atkinson-lab.com/
[email protected]<mailto:[email protected]>






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