51 |
Prospecting hydrogen production of Escherichia coli by metabolic network modeling Seppala JJ, Larjo A, Aho T, Yli-Harja O, Karp MT, Santala V International Journal of Hydrogen Energy, 38(27), 11780, 2013 |
52 |
In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites Ohno S, Furusawa C, Shimizu H Journal of Bioscience and Bioengineering, 115(2), 221, 2013 |
53 |
Proteomic and physiological experiments to test Thermotoga neapolitana constraint-based model hypotheses of carbon source utilization Munro SA, Choe L, Zinder SH, Lee KH, Walker LP Biotechnology Progress, 28(2), 312, 2012 |
54 |
Effects of linoleic acid and its degradation by-products on mesophilic hydrogen production using flocculated and granular mixed anaerobic cultures Saady NMC, Chaganti SR, Lalman JA, Veeravalli SS, Shanmugam SR, Heath DD International Journal of Hydrogen Energy, 37(24), 18747, 2012 |
55 |
Assessing the impact of palmitic, myristic and lauric acids on hydrogen production from glucose fermentation by mixed anaerobic granular cultures Saady NMC, Chaganti SR, Lalman JA, Veeravalli SS, Shanmugam SR, Heath DD International Journal of Hydrogen Energy, 37(24), 18761, 2012 |
56 |
Dynamic estimations of metabolic fluxes with constraint-based models and possibility theory Llaneras F, Sala A, Pico J Journal of Process Control, 22(10), 1946, 2012 |
57 |
Reconstruction and verification of a genome-scale metabolic model for Synechocystis sp PCC6803 Yoshikawa K, Kojima Y, Nakajima T, Furusawa C, Hirasawa T, Shimizu H Applied Microbiology and Biotechnology, 92(2), 347, 2011 |
58 |
Reconstruction and analysis of human heart-specific metabolic network based on transcriptome and proteome data Zhao YQ, Huang JF Biochemical and Biophysical Research Communications, 415(3), 450, 2011 |
59 |
Metabolic Response of Perfused Livers to Various Oxygenation Conditions Orman MA, Ierapetritou MG, Androulakis IP, Berthiaume F Biotechnology and Bioengineering, 108(12), 2947, 2011 |
60 |
Optimization of Fed-Batch Recombinant Yeast Fermentation for Ethanol Production Using a Reduced Dynamic Flux Balance Model Based on Artificial Neural Networks Eslamloueyan R, Setoodeh P Chemical Engineering Communications, 198(11), 1309, 2011 |