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Items: 1 to 20 of 66

1.

Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process.

Koch S, Benndorf D, Fronk K, Reichl U, Klamt S.

Biotechnol Biofuels. 2016 Jan 22;9:17. doi: 10.1186/s13068-016-0429-x. eCollection 2016.

2.

Manipulation of the ATP pool as a tool for metabolic engineering.

Hädicke O, Klamt S.

Biochem Soc Trans. 2015 Dec;43(6):1140-5. doi: 10.1042/BST20150141. Review.

PMID:
26614651
3.

Exact quantification of cellular robustness in genome-scale metabolic networks.

Gerstl MP, Klamt S, Jungreuthmayer C, Zanghellini J.

Bioinformatics. 2015 Nov 4. pii: btv649. [Epub ahead of print]

4.

Extended notions of sign consistency to relate experimental data to signaling and regulatory network topologies.

Thiele S, Cerone L, Saez-Rodriguez J, Siegel A, Guziołowski C, Klamt S.

BMC Bioinformatics. 2015 Oct 28;16:345. doi: 10.1186/s12859-015-0733-7.

5.

An algorithm for the reduction of genome-scale metabolic network models to meaningful core models.

Erdrich P, Steuer R, Klamt S.

BMC Syst Biol. 2015 Aug 19;9:48. doi: 10.1186/s12918-015-0191-x.

6.

Network-Based Analysis of Nutraceuticals in Human Hepatocellular Carcinomas Reveals Mechanisms of Chemopreventive Action.

Michailidou M, Melas IN, Messinis DE, Klamt S, Alexopoulos LG, Kolisis FN, Loutrari H.

CPT Pharmacometrics Syst Pharmacol. 2015 Jun;4(6):350-61. doi: 10.1002/psp4.40. Epub 2015 Jun 1.

7.

Association between IgE-mediated allergies and diabetes mellitus type 1 in children and adolescents.

Klamt S, Vogel M, Kapellen TM, Hiemisch A, Prenzel F, Zachariae S, Ceglarek U, Thiery J, Kiess W.

Pediatr Diabetes. 2015 Nov;16(7):493-503. doi: 10.1111/pedi.12298. Epub 2015 Jul 17.

PMID:
26189407
8.

T160‐phosphorylated CDK2 defines threshold for HGF dependent proliferation in primary hepatocytes.

Mueller S, Huard J, Waldow K, Huang X, D'Alessandro LA, Bohl S, Börner K, Grimm D, Klamt S, Klingmüller U, Schilling M.

Mol Syst Biol. 2015 Mar;11(3):795.

9.

On the feasibility of growth-coupled product synthesis in microbial strains.

Klamt S, Mahadevan R.

Metab Eng. 2015 Jul;30:166-78. doi: 10.1016/j.ymben.2015.05.006. Epub 2015 Jun 22.

PMID:
26112955
10.

Genome-scale strain designs based on regulatory minimal cut sets.

Mahadevan R, von Kamp A, Klamt S.

Bioinformatics. 2015 Sep 1;31(17):2844-51. doi: 10.1093/bioinformatics/btv217. Epub 2015 Apr 25.

PMID:
25913205
11.

Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.

D'Alessandro LA, Samaga R, Maiwald T, Rho SH, Bonefas S, Raue A, Iwamoto N, Kienast A, Waldow K, Meyer R, Schilling M, Timmer J, Klamt S, Klingmüller U.

PLoS Comput Biol. 2015 Apr 23;11(4):e1004192. doi: 10.1371/journal.pcbi.1004192. eCollection 2015 Apr.

12.

Enforced ATP futile cycling increases specific productivity and yield of anaerobic lactate production in Escherichia coli.

Hädicke O, Bettenbrock K, Klamt S.

Biotechnol Bioeng. 2015 Oct;112(10):2195-9. doi: 10.1002/bit.25623. Epub 2015 Jun 30.

PMID:
25899755
13.

Silence on the relevant literature and errors in implementation.

Bastiaens P, Birtwistle MR, Blüthgen N, Bruggeman FJ, Cho KH, Cosentino C, de la Fuente A, Hoek JB, Kiyatkin A, Klamt S, Kolch W, Legewie S, Mendes P, Naka T, Santra T, Sontag E, Westerhoff HV, Kholodenko BN.

Nat Biotechnol. 2015 Apr;33(4):336-9. doi: 10.1038/nbt.3185. No abstract available.

PMID:
25850052
14.

Diabetes mellitus in children and adolescents - a global epidemic which has become neglected.

Kiess W, Gorski T, Penke M, Klamt S, Kapellen TM.

J Pediatr Endocrinol Metab. 2015 Mar;28(3-4):247-50. doi: 10.1515/jpem-2015-0900. No abstract available.

PMID:
25781536
15.

T160-phosphorylated CDK2 defines threshold for HGF-dependent proliferation in primary hepatocytes.

Mueller S, Huard J, Waldow K, Huang X, D'Alessandro LA, Bohl S, Börner K, Grimm D, Klamt S, Klingmüller U, Schilling M.

Mol Syst Biol. 2015 Mar 14;11(1):795. doi: 10.15252/msb.20156032.

16.

Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling.

Erdrich P, Knoop H, Steuer R, Klamt S.

Microb Cell Fact. 2014 Sep 19;13:128. doi: 10.1186/s12934-014-0128-x.

17.

The avian cell line AGE1.CR.pIX characterized by metabolic flux analysis.

Lohr V, Hädicke O, Genzel Y, Jordan I, Büntemeyer H, Klamt S, Reichl U.

BMC Biotechnol. 2014 Jul 30;14:72. doi: 10.1186/1472-6750-14-72.

18.

A model integration approach linking signalling and gene-regulatory logic with kinetic metabolic models.

Ryll A, Bucher J, Bonin A, Bongard S, Gonçalves E, Saez-Rodriguez J, Niklas J, Klamt S.

Biosystems. 2014 Oct;124:26-38. doi: 10.1016/j.biosystems.2014.07.002. Epub 2014 Jul 23.

PMID:
25063553
19.

Complication and mortality rate after percutaneous endoscopic gastrostomy are low and indication-dependent.

Schneider AS, Schettler A, Markowski A, Luettig B, Kaufmann B, Klamt S, Lenzen H, Momma M, Seipt C, Lankisch T, Negm AA; *Conference presentation: 36th ESPEN Congress in Leipzig, Germany on August 31st – September 3rd, 2013.

Scand J Gastroenterol. 2014 Jul;49(7):891-8. doi: 10.3109/00365521.2014.916343. Epub 2014 Jun 4.

PMID:
24896841
20.

Enumeration of smallest intervention strategies in genome-scale metabolic networks.

von Kamp A, Klamt S.

PLoS Comput Biol. 2014 Jan;10(1):e1003378. doi: 10.1371/journal.pcbi.1003378. Epub 2014 Jan 2.

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