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Items: 7

1.

Thermal proteome profiling in bacteria: probing protein state in vivo.

Mateus A, Bobonis J, Kurzawa N, Stein F, Helm D, Hevler J, Typas A, Savitski MM.

Mol Syst Biol. 2018 Jul 6;14(7):e8242. doi: 10.15252/msb.20188242.

2.

Pervasive Protein Thermal Stability Variation during the Cell Cycle.

Becher I, Andrés-Pons A, Romanov N, Stein F, Schramm M, Baudin F, Helm D, Kurzawa N, Mateus A, Mackmull MT, Typas A, Müller CW, Bork P, Beck M, Savitski MM.

Cell. 2018 May 31;173(6):1495-1507.e18. doi: 10.1016/j.cell.2018.03.053. Epub 2018 Apr 26.

3.

Systematic analysis of protein turnover in primary cells.

Mathieson T, Franken H, Kosinski J, Kurzawa N, Zinn N, Sweetman G, Poeckel D, Ratnu VS, Schramm M, Becher I, Steidel M, Noh KM, Bergamini G, Beck M, Bantscheff M, Savitski MM.

Nat Commun. 2018 Feb 15;9(1):689. doi: 10.1038/s41467-018-03106-1.

4.

Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making.

Kurzawa N, Summerfield C, Bogacz R.

Neural Comput. 2017 Feb;29(2):368-393. doi: 10.1162/NECO_a_00917. Epub 2016 Nov 21.

5.

A comprehensive comparison of tools for differential ChIP-seq analysis.

Steinhauser S, Kurzawa N, Eils R, Herrmann C.

Brief Bioinform. 2016 Nov;17(6):953-966. Epub 2016 Jan 13.

6.

MapMyFlu: visualizing spatio-temporal relationships between related influenza sequences.

Nolte N, Kurzawa N, Eils R, Herrmann C.

Nucleic Acids Res. 2015 Jul 1;43(W1):W547-51. doi: 10.1093/nar/gkv417. Epub 2015 May 4.

7.

Creating functional engineered variants of the single-module non-ribosomal peptide synthetase IndC by T domain exchange.

Beer R, Herbst K, Ignatiadis N, Kats I, Adlung L, Meyer H, Niopek D, Christiansen T, Georgi F, Kurzawa N, Meichsner J, Rabe S, Riedel A, Sachs J, Schessner J, Schmidt F, Walch P, Niopek K, Heinemann T, Eils R, Di Ventura B.

Mol Biosyst. 2014 Jul;10(7):1709-18. doi: 10.1039/c3mb70594c.

PMID:
24457530

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