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Items: 1 to 50 of 289

1.

Systemic network analysis identifies XIAP and IκBα as potential drug targets in TRAIL resistant BRAF mutated melanoma.

Del Mistro G, Lucarelli P, Müller I, De Landtsheer S, Zinoveva A, Hutt M, Siegemund M, Kontermann RE, Beissert S, Sauter T, Kulms D.

NPJ Syst Biol Appl. 2018 Nov 5;4:39. doi: 10.1038/s41540-018-0075-y. eCollection 2018.

2.

Personality development in psychotherapy: a synergetic model of state-trait dynamics.

Schöller H, Viol K, Aichhorn W, Hütt MT, Schiepek G.

Cogn Neurodyn. 2018 Oct;12(5):441-459. doi: 10.1007/s11571-018-9488-y. Epub 2018 Jun 4.

3.

IgG-single-chain TRAIL fusion proteins for tumour therapy.

Siegemund M, Schneider F, Hutt M, Seifert O, Müller I, Kulms D, Pfizenmaier K, Kontermann RE.

Sci Rep. 2018 May 17;8(1):7808. doi: 10.1038/s41598-018-24450-8.

4.

Toward a theory of coactivation patterns in excitable neural networks.

Messé A, Hütt MT, Hilgetag CC.

PLoS Comput Biol. 2018 Apr 9;14(4):e1006084. doi: 10.1371/journal.pcbi.1006084. eCollection 2018 Apr.

5.

Targeting scFv-Fc-scTRAIL fusion proteins to tumor cells.

Hutt M, Fellermeier-Kopf S, Seifert O, Schmitt LC, Pfizenmaier K, Kontermann RE.

Oncotarget. 2018 Jan 31;9(13):11322-11335. doi: 10.18632/oncotarget.24379. eCollection 2018 Feb 16.

6.

The interdependent network of gene regulation and metabolism is robust where it needs to be.

Klosik DF, Grimbs A, Bornholdt S, Hütt MT.

Nat Commun. 2017 Sep 14;8(1):534. doi: 10.1038/s41467-017-00587-4.

7.

Superior Properties of Fc-comprising scTRAIL Fusion Proteins.

Hutt M, Marquardt L, Seifert O, Siegemund M, Müller I, Kulms D, Pfizenmaier K, Kontermann RE.

Mol Cancer Ther. 2017 Dec;16(12):2792-2802. doi: 10.1158/1535-7163.MCT-17-0551. Epub 2017 Sep 13.

PMID:
28904131
8.

Boolean analysis reveals systematic interactions among low-abundance species in the human gut microbiome.

Claussen JC, Skiecevičienė J, Wang J, Rausch P, Karlsen TH, Lieb W, Baines JF, Franke A, Hütt MT.

PLoS Comput Biol. 2017 Jun 22;13(6):e1005361. doi: 10.1371/journal.pcbi.1005361. eCollection 2017 Jun.

9.

Antitumor Activity of a Mesenchymal Stem Cell Line Stably Secreting a Tumor-Targeted TNF-Related Apoptosis-Inducing Ligand Fusion Protein.

Marini I, Siegemund M, Hutt M, Kontermann RE, Pfizenmaier K.

Front Immunol. 2017 May 11;8:536. doi: 10.3389/fimmu.2017.00536. eCollection 2017.

10.

Psychotherapy Is Chaotic-(Not Only) in a Computational World.

Schiepek GK, Viol K, Aichhorn W, Hütt MT, Sungler K, Pincus D, Schöller HJ.

Front Psychol. 2017 Apr 24;8:379. doi: 10.3389/fpsyg.2017.00379. eCollection 2017.

11.

Modular topology emerges from plasticity in a minimalistic excitable network model.

Damicelli F, Hilgetag CC, Hütt MT, Messé A.

Chaos. 2017 Apr;27(4):047406. doi: 10.1063/1.4979561.

PMID:
28456166
12.

Bioactivity in Rhododendron: A Systemic Analysis of Antimicrobial and Cytotoxic Activities and Their Phylogenetic and Phytochemical Origins.

Grimbs A, Shrestha A, Rezk ASD, Grimbs S, Hakeem Said I, Schepker H, Hütt MT, Albach DC, Brix K, Kuhnert N, Ullrich MS.

Front Plant Sci. 2017 Apr 13;8:551. doi: 10.3389/fpls.2017.00551. eCollection 2017.

13.

Inhibition of HER3 activation and tumor growth with a human antibody binding to a conserved epitope formed by domain III and IV.

Schmitt LC, Rau A, Seifert O, Honer J, Hutt M, Schmid S, Zantow J, Hust M, Dübel S, Olayioye MA, Kontermann RE.

MAbs. 2017 Jul;9(5):831-843. doi: 10.1080/19420862.2017.1319023. Epub 2017 Apr 19.

14.

Topological determinants of self-sustained activity in a simple model of excitable dynamics on graphs.

Fretter C, Lesne A, Hilgetag CC, Hütt MT.

Sci Rep. 2017 Feb 10;7:42340. doi: 10.1038/srep42340.

15.

Uncoupling of mucosal gene regulation, mRNA splicing and adherent microbiota signatures in inflammatory bowel disease.

Häsler R, Sheibani-Tezerji R, Sinha A, Barann M, Rehman A, Esser D, Aden K, Knecht C, Brandt B, Nikolaus S, Schäuble S, Kaleta C, Franke A, Fretter C, Müller W, Hütt MT, Krawczak M, Schreiber S, Rosenstiel P.

Gut. 2017 Dec;66(12):2087-2097. doi: 10.1136/gutjnl-2016-311651. Epub 2016 Sep 30.

16.

Distinct metabolic network states manifest in the gene expression profiles of pediatric inflammatory bowel disease patients and controls.

Knecht C, Fretter C, Rosenstiel P, Krawczak M, Hütt MT.

Sci Rep. 2016 Sep 2;6:32584. doi: 10.1038/srep32584.

17.

An optimized antibody-single-chain TRAIL fusion protein for cancer therapy.

Siegemund M, Seifert O, Zarani M, Džinić T, De Leo V, Göttsch D, Münkel S, Hutt M, Pfizenmaier K, Kontermann RE.

MAbs. 2016 Jul;8(5):879-91. doi: 10.1080/19420862.2016.1172163. Epub 2016 Apr 11.

18.

Interdisciplinary approach towards a systems medicine toolbox using the example of inflammatory diseases.

Bauer CR, Knecht C, Fretter C, Baum B, Jendrossek S, Rühlemann M, Heinsen FA, Umbach N, Grimbacher B, Franke A, Lieb W, Krawczak M, Hütt MT, Sax U.

Brief Bioinform. 2017 May 1;18(3):479-487. doi: 10.1093/bib/bbw024.

19.

Effect of database drift on network topology and enrichment analyses: a case study for RegulonDB.

Beber ME, Muskhelishvili G, Hütt MT.

Database (Oxford). 2016 Mar 15;2016. pii: baw003. doi: 10.1093/database/baw003. Print 2016.

20.

Regulation of Spatiotemporal Patterns by Biological Variability: General Principles and Applications to Dictyostelium discoideum.

Grace M, Hütt MT.

PLoS Comput Biol. 2015 Nov 12;11(11):e1004367. doi: 10.1371/journal.pcbi.1004367. eCollection 2015 Nov. Review.

21.

Pharmacokinetic properties of IgG and various Fc fusion proteins in mice.

Unverdorben F, Richter F, Hutt M, Seifert O, Malinge P, Fischer N, Kontermann RE.

MAbs. 2016;8(1):120-8. doi: 10.1080/19420862.2015.1113360.

22.

A Fab-Selective Immunoglobulin-Binding Domain from Streptococcal Protein G with Improved Half-Life Extension Properties.

Unverdorben F, Hutt M, Seifert O, Kontermann RE.

PLoS One. 2015 Oct 2;10(10):e0139838. doi: 10.1371/journal.pone.0139838. eCollection 2015.

23.

Node Survival in Networks under Correlated Attacks.

Hao Y, Armbruster D, Hütt MT.

PLoS One. 2015 May 1;10(5):e0125467. doi: 10.1371/journal.pone.0125467. eCollection 2015.

24.

A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks.

Messé A, Hütt MT, König P, Hilgetag CC.

Sci Rep. 2015 Jan 19;5:7870. doi: 10.1038/srep07870.

25.

Role of long cycles in excitable dynamics on graphs.

Garcia GC, Lesne A, Hilgetag CC, Hütt MT.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Nov;90(5-1):052805. Epub 2014 Nov 10.

PMID:
25493832
26.

Motif-based success scores in coauthorship networks are highly sensitive to author name disambiguation.

Klosik DF, Bornholdt S, Hütt MT.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Sep;90(3):032811. Epub 2014 Sep 19.

PMID:
25314486
27.

Perspective: network-guided pattern formation of neural dynamics.

Hütt MT, Kaiser M, Hilgetag CC.

Philos Trans R Soc Lond B Biol Sci. 2014 Oct 5;369(1653). pii: 20130522. doi: 10.1098/rstb.2013.0522. Review.

28.

Understanding genetic variation - the value of systems biology.

Hütt MT.

Br J Clin Pharmacol. 2014 Apr;77(4):597-605. doi: 10.1111/bcp.12266. Review.

29.

Hierarchical modular brain connectivity is a stretch for criticality.

Hilgetag CC, Hütt MT.

Trends Cogn Sci. 2014 Mar;18(3):114-5. doi: 10.1016/j.tics.2013.10.016. Epub 2013 Nov 19.

PMID:
24268289
30.

Predictability of spatio-temporal patterns in a lattice of coupled FitzHugh-Nagumo oscillators.

Grace M, Hütt MT.

J R Soc Interface. 2013 Jan 24;10(81):20121016. doi: 10.1098/rsif.2012.1016. Print 2013 Apr 6.

31.

Subgraph fluctuations in random graphs.

Fretter C, Müller-Hannemann M, Hütt MT.

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 May;85(5 Pt 2):056119. Epub 2012 May 29.

PMID:
23004833
32.

Artefacts in statistical analyses of network motifs: general framework and application to metabolic networks.

Beber ME, Fretter C, Jain S, Sonnenschein N, Müller-Hannemann M, Hütt MT.

J R Soc Interface. 2012 Dec 7;9(77):3426-35. doi: 10.1098/rsif.2012.0490. Epub 2012 Aug 15.

33.

Building blocks of self-sustained activity in a simple deterministic model of excitable neural networks.

Garcia GC, Lesne A, Hütt MT, Hilgetag CC.

Front Comput Neurosci. 2012 Aug 6;6:50. doi: 10.3389/fncom.2012.00050. eCollection 2012.

34.

Molecular modelling of the mass density of single proteins.

Hutt M, Kulschewski T, Pleiss J.

J Biomol Struct Dyn. 2012;30(3):318-27. doi: 10.1080/07391102.2012.680031. Epub 2012 Jun 18.

PMID:
22709465
35.

A network perspective on metabolic inconsistency.

Sonnenschein N, Golib Dzib JF, Lesne A, Eilebrecht S, Boulkroun S, Zennaro MC, Benecke A, Hütt MT.

BMC Syst Biol. 2012 May 14;6:41. doi: 10.1186/1752-0509-6-41.

36.

Half-life extension of a single-chain diabody by fusion to domain B of staphylococcal protein A.

Unverdorben F, Färber-Schwarz A, Richter F, Hutt M, Kontermann RE.

Protein Eng Des Sel. 2012 Feb;25(2):81-8. doi: 10.1093/protein/gzr061. Epub 2012 Jan 11.

PMID:
22238430
37.

A topological characterization of medium-dependent essential metabolic reactions.

Sonnenschein N, Marr C, Hütt MT.

Metabolites. 2012 Sep 24;2(3):632-47. doi: 10.3390/metabo2030632.

38.

Plasma half-life extension of small recombinant antibodies by fusion to immunoglobulin-binding domains.

Hutt M, Färber-Schwarz A, Unverdorben F, Richter F, Kontermann RE.

J Biol Chem. 2012 Feb 10;287(7):4462-9. doi: 10.1074/jbc.M111.311522. Epub 2011 Dec 6.

39.

Analog regulation of metabolic demand.

Sonnenschein N, Geertz M, Muskhelishvili G, Hütt MT.

BMC Syst Biol. 2011 Mar 15;5:40. doi: 10.1186/1752-0509-5-40.

40.

Patterns of subnet usage reveal distinct scales of regulation in the transcriptional regulatory network of Escherichia coli.

Marr C, Theis FJ, Liebovitch LS, Hütt MT.

PLoS Comput Biol. 2010 Jul 1;6:e1000836. doi: 10.1371/journal.pcbi.1000836.

41.

Statistical evidence for ancestral correlation patterns.

Kuhn A, Dehnert M, Helm WE, Hütt MT.

Biosystems. 2010 Jun;100(3):215-24. doi: 10.1016/j.biosystems.2010.03.006. Epub 2010 Mar 27.

PMID:
20350581
42.

Ranges of control in the transcriptional regulation of Escherichia coli.

Sonnenschein N, Hütt MT, Stoyan H, Stoyan D.

BMC Syst Biol. 2009 Dec 24;3:119. doi: 10.1186/1752-0509-3-119.

43.

Interplay between Topology and Dynamics in Excitation Patterns on Hierarchical Graphs.

Hütt MT, Lesne A.

Front Neuroinform. 2009 Sep 15;3:28. doi: 10.3389/neuro.11.028.2009. eCollection 2009.

44.

Predicting the distribution of spiral waves from cell properties in a developmental-path model of Dictyostelium pattern formation.

Geberth D, Hütt MT.

PLoS Comput Biol. 2009 Jul;5(7):e1000422. doi: 10.1371/journal.pcbi.1000422. Epub 2009 Jul 10.

45.

The mechanism of action of tapasin in the peptide exchange on MHC class I molecules determined from kinetics simulation studies.

Schneeweiss C, Garstka M, Smith J, Hütt MT, Springer S.

Mol Immunol. 2009 Jun;46(10):2054-63. doi: 10.1016/j.molimm.2009.02.032. Epub 2009 Apr 11.

PMID:
19362740
46.

Predicting spiral wave patterns from cell properties in a model of biological self-organization.

Geberth D, Hütt MT.

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Sep;78(3 Pt 1):031917. Epub 2008 Sep 23.

PMID:
18851075
47.

Organization of excitable dynamics in hierarchical biological networks.

Müller-Linow M, Hilgetag CC, Hütt MT.

PLoS Comput Biol. 2008 Sep 26;4(9):e1000190. doi: 10.1371/journal.pcbi.1000190.

48.

Dissecting the logical types of network control in gene expression profiles.

Marr C, Geertz M, Hütt MT, Muskhelishvili G.

BMC Syst Biol. 2008 Feb 19;2:18. doi: 10.1186/1752-0509-2-18.

49.

Reconstruction of cellular variability from spatiotemporal patterns of Dictyostelium discoideum.

Hilgardt C, Müller SC, Hütt MT.

Nonlinear Biomed Phys. 2007 Aug 30;1(1):10.

50.

Consistency analysis of metabolic correlation networks.

Müller-Linow M, Weckwerth W, Hütt MT.

BMC Syst Biol. 2007 Sep 24;1:44.

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