Year |
Citation |
Score |
2024 |
Oftadeh O, Hatzimanikatis V. Genome-scale models of metabolism and expression predict the metabolic burden of recombinant protein expression. Metabolic Engineering. 84: 109-116. PMID 38880390 DOI: 10.1016/j.ymben.2024.06.005 |
0.328 |
|
2022 |
Choudhury S, Moret M, Salvy P, Weilandt D, Hatzimanikatis V, Miskovic L. Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks. Nature Machine Intelligence. 4: 710-719. PMID 37790987 DOI: 10.1038/s42256-022-00519-y |
0.341 |
|
2022 |
Vayena E, Chiappino-Pepe A, MohammadiPeyhani H, Francioli Y, Hadadi N, Ataman M, Hafner J, Pavlou S, Hatzimanikatis V. A workflow for annotating the knowledge gaps in metabolic reconstructions using known and hypothetical reactions. Proceedings of the National Academy of Sciences of the United States of America. 119: e2211197119. PMID 36343249 DOI: 10.1073/pnas.2211197119 |
0.767 |
|
2022 |
MohammadiPeyhani H, Hafner J, Sveshnikova A, Viterbo V, Hatzimanikatis V. Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx. Nature Communications. 13: 1560. PMID 35322036 DOI: 10.1038/s41467-022-29238-z |
0.322 |
|
2021 |
Oftadeh O, Salvy P, Masid M, Curvat M, Miskovic L, Hatzimanikatis V. A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics. Nature Communications. 12: 4790. PMID 34373465 DOI: 10.1038/s41467-021-25158-6 |
0.352 |
|
2021 |
MohammadiPeyhani H, Chiappino-Pepe A, Haddadi K, Hafner J, Hadadi N, Hatzimanikatis V. NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism. Elife. 10. PMID 34340747 DOI: 10.7554/eLife.65543 |
0.713 |
|
2021 |
Hafner J, Hatzimanikatis V. Finding metabolic pathways in large networks through atom-conserving substrate-product pairs. Bioinformatics (Oxford, England). PMID 34003971 DOI: 10.1093/bioinformatics/btab368 |
0.316 |
|
2021 |
Tsouka S, Ataman M, Hameri T, Miskovic L, Hatzimanikatis V. Constraint-based metabolic control analysis for rational strain engineering. Metabolic Engineering. 66: 191-203. PMID 33895366 DOI: 10.1016/j.ymben.2021.03.003 |
0.339 |
|
2021 |
Chiappino-Pepe A, Hatzimanikatis V. PhenoMapping: a protocol to map cellular phenotypes to metabolic bottlenecks, identify conditional essentiality, and curate metabolic models. Star Protocols. 2: 100280. PMID 33532729 DOI: 10.1016/j.xpro.2020.100280 |
0.756 |
|
2020 |
Masid M, Ataman M, Hatzimanikatis V. Author Correction: Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN. Nature Communications. 11: 3757. PMID 32703980 DOI: 10.1038/S41467-020-17694-4 |
0.356 |
|
2020 |
Masid M, Ataman M, Hatzimanikatis V. Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN. Nature Communications. 11: 2821. PMID 32499584 DOI: 10.1038/S41467-020-16549-2 |
0.44 |
|
2020 |
Hafner J, MohammadiPeyhani H, Sveshnikova A, Scheidegger A, Hatzimanikatis V. Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power. Acs Synthetic Biology. PMID 32421310 DOI: 10.1021/Acssynbio.0C00052 |
0.308 |
|
2020 |
Lieven C, Beber ME, Olivier BG, Bergmann FT, Ataman M, Babaei P, Bartell JA, Blank LM, Chauhan S, Correia K, Diener C, Dräger A, Ebert BE, Edirisinghe JN, Faria JP, ... ... Hatzimanikatis V, et al. Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology. 38: 504. PMID 32265554 DOI: 10.1038/S41587-020-0477-4 |
0.352 |
|
2020 |
Tokic M, Hatzimanikatis V, Miskovic L. Large-scale kinetic metabolic models of KT2440 for consistent design of metabolic engineering strategies. Biotechnology For Biofuels. 13: 33. PMID 32140178 DOI: 10.1186/S13068-020-1665-7 |
0.436 |
|
2020 |
Lieven C, Beber ME, Olivier BG, Bergmann FT, Ataman M, Babaei P, Bartell JA, Blank LM, Chauhan S, Correia K, Diener C, Dräger A, Ebert BE, Edirisinghe JN, Faria JP, ... ... Hatzimanikatis V, et al. MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology. PMID 32123384 DOI: 10.1038/S41587-020-0446-Y |
0.363 |
|
2020 |
Tsouka S, Hatzimanikatis V. redLips: a comprehensive mechanistic model of the lipid metabolic network of yeast. Fems Yeast Research. 20. PMID 32068831 DOI: 10.1093/Femsyr/Foaa006 |
0.415 |
|
2020 |
Krishnan A, Kloehn J, Lunghi M, Chiappino-Pepe A, Waldman BS, Nicolas D, Varesio E, Hehl A, Lourido S, Hatzimanikatis V, Soldati-Favre D. Functional and Computational Genomics Reveal Unprecedented Flexibility in Stage-Specific Toxoplasma Metabolism. Cell Host & Microbe. PMID 31991093 DOI: 10.1016/J.Chom.2020.01.002 |
0.779 |
|
2020 |
Salvy P, Hatzimanikatis V. The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models. Nature Communications. 11: 30. PMID 31937763 DOI: 10.1038/S41467-019-13818-7 |
0.443 |
|
2019 |
Hameri T, Boldi MO, Hatzimanikatis V. Statistical inference in ensemble modeling of cellular metabolism. Plos Computational Biology. 15: e1007536. PMID 31815929 DOI: 10.1371/Journal.Pcbi.1007536 |
0.378 |
|
2019 |
Stanway RR, Bushell E, Chiappino-Pepe A, Roques M, Sanderson T, Franke-Fayard B, Caldelari R, Golomingi M, Nyonda M, Pandey V, Schwach F, Chevalley S, Ramesar J, Metcalf T, Herd C, ... ... Hatzimanikatis V, et al. Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage. Cell. 179: 1112-1128.e26. PMID 31730853 DOI: 10.1016/J.Cell.2019.10.030 |
0.755 |
|
2019 |
Miskovic L, Béal J, Moret M, Hatzimanikatis V. Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties. Plos Computational Biology. 15: e1007242. PMID 31430276 DOI: 10.1371/Journal.Pcbi.1007242 |
0.414 |
|
2019 |
Weilandt DR, Hatzimanikatis V. Particle-Based Simulation Reveals Macromolecular Crowding Effects on the Michaelis-Menten Mechanism. Biophysical Journal. 117: 355-368. PMID 31311624 DOI: 10.1016/J.Bpj.2019.06.017 |
0.358 |
|
2019 |
Borer B, Ataman M, Hatzimanikatis V, Or D. Modeling metabolic networks of individual bacterial agents in heterogeneous and dynamic soil habitats (IndiMeSH). Plos Computational Biology. 15: e1007127. PMID 31216273 DOI: 10.1371/Journal.Pcbi.1007127 |
0.373 |
|
2019 |
Abrami L, Denhardt-Eriksson RA, Hatzimanikatis V, van der Goot FG. Dynamic Radiolabeling of S-Palmitoylated Proteins. Methods in Molecular Biology (Clifton, N.J.). 2009: 111-127. PMID 31152399 DOI: 10.1007/978-1-4939-9532-5_9 |
0.335 |
|
2019 |
Pandey V, Hadadi N, Hatzimanikatis V. Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models. Plos Computational Biology. 15: e1007036. PMID 31083653 DOI: 10.1371/Journal.Pcbi.1007036 |
0.439 |
|
2019 |
Pandey V, Hatzimanikatis V. Investigating the deregulation of metabolic tasks via Minimum Network Enrichment Analysis (MiNEA) as applied to nonalcoholic fatty liver disease using mouse and human omics data. Plos Computational Biology. 15: e1006760. PMID 31002661 DOI: 10.1371/Journal.Pcbi.1006760 |
0.431 |
|
2019 |
Hadadi N, MohammadiPeyhani H, Miskovic L, Seijo M, Hatzimanikatis V. Enzyme annotation for orphan and novel reactions using knowledge of substrate reactive sites. Proceedings of the National Academy of Sciences of the United States of America. PMID 30910961 DOI: 10.1073/Pnas.1818877116 |
0.335 |
|
2019 |
Salvy P, Fengos G, Ataman M, Pathier T, Soh KC, Hatzimanikatis V. pyTFA and matTFA: a Python package and a Matlab toolbox for Thermodynamics-based Flux Analysis. Bioinformatics (Oxford, England). 35: 167-169. PMID 30561545 DOI: 10.1093/Bioinformatics/Bty499 |
0.304 |
|
2019 |
Miskovic L, Tokic M, Savoglidis G, Hatzimanikatis V. Control Theory Concepts for Modeling Uncertainty in Enzyme Kinetics of Biochemical Networks Industrial & Engineering Chemistry Research. 58: 13544-13554. DOI: 10.1021/Acs.Iecr.9B00818 |
0.352 |
|
2018 |
Hameri T, Fengos G, Ataman M, Miskovic L, Hatzimanikatis V. Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations. Metabolic Engineering. 52: 29-41. PMID 30455161 DOI: 10.1016/J.Ymben.2018.10.005 |
0.441 |
|
2018 |
Tokić M, Hadadi N, Ataman M, Neves D, Ebert BE, Blank LM, Miskovic L, Hatzimanikatis V. Discovery and Evaluation of Biosynthetic Pathways for the Production of Five Methyl Ethyl Ketone Precursors. Acs Synthetic Biology. PMID 30021444 DOI: 10.1021/Acssynbio.8B00049 |
0.384 |
|
2018 |
Panayiotou C, Mastrogeorgopoulos S, Ataman M, Hadadi N, Hatzimanikatis V. Molecular thermodynamics of metabolism: hydration quantities and the equation-of-state approach. Physical Chemistry Chemical Physics : Pccp. 18: 32570-32592. PMID 27874110 DOI: 10.1039/C6Cp06281D |
0.322 |
|
2017 |
Abrami L, Dallavilla T, Sandoz PA, Demir M, Kunz B, Savoglidis G, Hatzimanikatis V, van der Goot FG. Identification and dynamics of the human ZDHHC16-ZDHHC6 palmitoylation cascade. Elife. 6. PMID 28826475 DOI: 10.7554/Elife.27826 |
0.324 |
|
2017 |
Ataman M, Hatzimanikatis V. lumpGEM: Systematic generation of subnetworks and elementally balanced lumped reactions for the biosynthesis of target metabolites. Plos Computational Biology. 13: e1005513. PMID 28727789 DOI: 10.1371/Journal.Pcbi.1005513 |
0.439 |
|
2017 |
Ataman M, Hernandez Gardiol DF, Fengos G, Hatzimanikatis V. redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models. Plos Computational Biology. 13: e1005444. PMID 28727725 DOI: 10.1371/Journal.Pcbi.1005444 |
0.455 |
|
2017 |
Miskovic L, Alff-Tuomala S, Soh KC, Barth D, Salusjärvi L, Pitkänen JP, Ruohonen L, Penttilä M, Hatzimanikatis V. A design-build-test cycle using modeling and experiments reveals interdependencies between upper glycolysis and xylose uptake in recombinant S. cerevisiae and improves predictive capabilities of large-scale kinetic models. Biotechnology For Biofuels. 10: 166. PMID 28674555 DOI: 10.1186/S13068-017-0838-5 |
0.377 |
|
2017 |
Ahsanul Islam M, Hadadi N, Ataman M, Hatzimanikatis V, Stephanopoulos G. Exploring Biochemical Pathways for Mono-Ethylene Glycol (MEG) Synthesis from Synthesis Gas. Metabolic Engineering. PMID 28433737 DOI: 10.1016/J.Ymben.2017.04.005 |
0.387 |
|
2017 |
Chiappino-Pepe A, Tymoshenko S, Ataman M, Soldati-Favre D, Hatzimanikatis V. Bioenergetics-based modeling of Plasmodium falciparum metabolism reveals its essential genes, nutritional requirements, and thermodynamic bottlenecks. Plos Computational Biology. 13: e1005397. PMID 28333921 DOI: 10.1371/Journal.Pcbi.1005397 |
0.779 |
|
2017 |
Berset Y, Merulla D, Joublin A, Hatzimanikatis V, van der Meer JR. Mechanistic Modeling of Genetic Circuits for ArsR Arsenic Regulation. Acs Synthetic Biology. PMID 28215088 DOI: 10.1021/Acssynbio.6B00364 |
0.316 |
|
2017 |
Mastrogeorgopoulos S, Hatzimanikatis V, Panayiotou C. Toward a Simple Predictive Molecular Thermodynamic Model for Bulk Phases and Interfaces Industrial & Engineering Chemistry Research. 56: 10900-10910. DOI: 10.1021/Acs.Iecr.7B02286 |
0.302 |
|
2017 |
Chiappino-Pepe A, Pandey V, Ataman M, Hatzimanikatis V. Integration of metabolic, regulatory and signaling networks towards analysis of perturbation and dynamic responses Current Opinion in Systems Biology. 2: 59-66. DOI: 10.1016/J.Coisb.2017.01.007 |
0.423 |
|
2016 |
Hadadi N, Hafner J, Soh KC, Hatzimanikatis V. Reconstruction of biological pathways and metabolic networks from in silico labeled metabolites. Biotechnology Journal. PMID 27897385 DOI: 10.1002/Biot.201600464 |
0.351 |
|
2016 |
Wayne G, Graves A, Hassabis D, Saha S, Weber CA, Hyman AA, Juelicher F, Stroud DA, Ryan MT, Potvin-Trottier L, Paulsson J, Geiler-Samerotte KA, Siegal ML, Uhlen M, Edfors F, ... ... Hatzimanikatis V, et al. Principles of Systems Biology, No. 11 Cell Systems. 3: 406-410. PMID 27883884 DOI: 10.1016/J.Cels.2016.11.010 |
0.326 |
|
2016 |
Kiparissides A, Hatzimanikatis V. Thermodynamics-based Metabolite Sensitivity Analysis in metabolic networks. Metabolic Engineering. 39: 117-127. PMID 27845184 DOI: 10.1016/J.Ymben.2016.11.006 |
0.466 |
|
2016 |
Hadadi N, Hafner J, Shajkofci A, Zisaki A, Hatzimanikatis V. ATLAS of Biochemistry: A Repository of All Possible Biochemical Reactions for Synthetic Biology and Metabolic Engineering Studies. Acs Synthetic Biology. 5: 1155-1166. PMID 27404214 DOI: 10.1021/Acssynbio.6B00054 |
0.422 |
|
2016 |
Vieira JP, Racle J, Hatzimanikatis V. Analysis of Translation Elongation Dynamics in the Context of an Escherichia coli Cell. Biophysical Journal. 110: 2120-31. PMID 27166819 DOI: 10.1016/J.Bpj.2016.04.004 |
0.321 |
|
2016 |
Savoglidis G, da Silveira Dos Santos AX, Riezman I, Angelino P, Riezman H, Hatzimanikatis V. A method for analysis and design of metabolism using metabolomics data and kinetic models: Application on lipidomics using a novel kinetic model of sphingolipid metabolism. Metabolic Engineering. 37: 46-62. PMID 27113440 DOI: 10.1016/J.Ymben.2016.04.002 |
0.454 |
|
2016 |
Dallavilla T, Abrami L, Sandoz PA, Savoglidis G, Hatzimanikatis V, van der Goot FG. Model-Driven Understanding of Palmitoylation Dynamics: Regulated Acylation of the Endoplasmic Reticulum Chaperone Calnexin. Plos Computational Biology. 12: e1004774. PMID 26900856 DOI: 10.1371/Journal.Pcbi.1004774 |
0.371 |
|
2016 |
Andreozzi S, Chakrabarti A, Soh KC, Burgard A, Yang TH, Van Dien S, Miskovic L, Hatzimanikatis V. Identification of metabolic engineering targets for the enhancement of 1,4-butanediol production in recombinant E. coli using large-scale kinetic models. Metabolic Engineering. 35: 148-59. PMID 26855240 DOI: 10.1016/J.Ymben.2016.01.009 |
0.433 |
|
2016 |
Andreozzi S, Miskovic L, Hatzimanikatis V. iSCHRUNK--In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks. Metabolic Engineering. 33: 158-68. PMID 26474788 DOI: 10.1016/J.Ymben.2015.10.002 |
0.45 |
|
2016 |
Morales M, Ataman M, Badr S, Linster S, Kourlimpinis I, Papadokonstantakis S, Hatzimanikatis V, Hungerbühler K. Sustainability assessment of succinic acid production technologies from biomass using metabolic engineering Energy & Environmental Science. 9: 2794-2805. DOI: 10.1039/C6Ee00634E |
0.357 |
|
2015 |
Ataman M, Hatzimanikatis V. Heading in the right direction: thermodynamics-based network analysis and pathway engineering. Current Opinion in Biotechnology. 36: 176-82. PMID 26360871 DOI: 10.1016/J.Copbio.2015.08.021 |
0.403 |
|
2015 |
Miskovic L, Tokic M, Fengos G, Hatzimanikatis V. Rites of passage: requirements and standards for building kinetic models of metabolic phenotypes. Current Opinion in Biotechnology. 36: 146-53. PMID 26342586 DOI: 10.1016/J.Copbio.2015.08.019 |
0.404 |
|
2015 |
Hatzimanikatis V, Saez-Rodriguez J. Integrative approaches for signalling and metabolic networks. Integrative Biology : Quantitative Biosciences From Nano to Macro. 7: 844-5. PMID 26198436 DOI: 10.1039/C5Ib90030A |
0.333 |
|
2015 |
Hadadi N, Hatzimanikatis V. Design of computational retrobiosynthesis tools for the design of de novo synthetic pathways. Current Opinion in Chemical Biology. 28: 99-104. PMID 26177079 DOI: 10.1016/J.Cbpa.2015.06.025 |
0.386 |
|
2015 |
Tymoshenko S, Oppenheim RD, Agren R, Nielsen J, Soldati-Favre D, Hatzimanikatis V. Metabolic Needs and Capabilities of Toxoplasma gondii through Combined Computational and Experimental Analysis. Plos Computational Biology. 11: e1004261. PMID 26001086 DOI: 10.1371/Journal.Pcbi.1004261 |
0.442 |
|
2015 |
Zisaki A, Miskovic L, Hatzimanikatis V. Antihypertensive drugs metabolism: an update to pharmacokinetic profiles and computational approaches. Current Pharmaceutical Design. 21: 806-22. PMID 25341854 DOI: 10.2174/1381612820666141024151119 |
0.397 |
|
2015 |
Hadadi N, Ataman M, Hatzimanikatis V, Panayiotou C. Molecular thermodynamics of metabolism: Quantum thermochemical calculations for key metabolites Physical Chemistry Chemical Physics. 17: 10438-10453. DOI: 10.1039/C4Cp05825A |
0.354 |
|
2014 |
Soh KC, Hatzimanikatis V. Constraining the flux space using thermodynamics and integration of metabolomics data. Methods in Molecular Biology (Clifton, N.J.). 1191: 49-63. PMID 25178783 DOI: 10.1007/978-1-4939-1170-7_3 |
0.392 |
|
2014 |
Almquist J, Cvijovic M, Hatzimanikatis V, Nielsen J, Jirstrand M. Kinetic models in industrial biotechnology - Improving cell factory performance. Metabolic Engineering. 24: 38-60. PMID 24747045 DOI: 10.1016/J.Ymben.2014.03.007 |
0.357 |
|
2014 |
Hadadi N, Cher Soh K, Seijo M, Zisaki A, Guan X, Wenk MR, Hatzimanikatis V. A computational framework for integration of lipidomics data into metabolic pathways. Metabolic Engineering. 23: 1-8. PMID 24395008 DOI: 10.1016/J.Ymben.2013.12.007 |
0.404 |
|
2014 |
Gill RT, Hatzimanikatis V. Introduction to metabolic engineering communications Metabolic Engineering Communications. 1: 29. DOI: 10.1016/J.Meteno.2014.11.002 |
0.32 |
|
2013 |
Fierro-Monti I, Racle J, Hernandez C, Waridel P, Hatzimanikatis V, Quadroni M. A novel pulse-chase SILAC strategy measures changes in protein decay and synthesis rates induced by perturbation of proteostasis with an Hsp90 inhibitor. Plos One. 8: e80423. PMID 24312217 DOI: 10.1371/Journal.Pone.0080423 |
0.341 |
|
2013 |
Racle J, Picard F, Girbal L, Cocaign-Bousquet M, Hatzimanikatis V. A genome-scale integration and analysis of Lactococcus lactis translation data. Plos Computational Biology. 9: e1003240. PMID 24130467 DOI: 10.1371/Journal.Pcbi.1003240 |
0.365 |
|
2013 |
Mattanovich D, Hatzimanikatis V. Editorial: metabolic modeling in biotechnology and medical research. Biotechnology Journal. 8: 962-3. PMID 24031032 DOI: 10.1002/Biot.201300378 |
0.411 |
|
2013 |
Chakrabarti A, Miskovic L, Soh KC, Hatzimanikatis V. Towards kinetic modeling of genome-scale metabolic networks without sacrificing stoichiometric, thermodynamic and physiological constraints. Biotechnology Journal. 8: 1043-57. PMID 23868566 DOI: 10.1002/Biot.201300091 |
0.478 |
|
2013 |
Tymoshenko S, Oppenheim RD, Soldati-Favre D, Hatzimanikatis V. Functional genomics of Plasmodium falciparum using metabolic modelling and analysis. Briefings in Functional Genomics. 12: 316-27. PMID 23793264 DOI: 10.1093/Bfgp/Elt017 |
0.361 |
|
2013 |
Mier-y-Terán-Romero L, Silber M, Hatzimanikatis V. Mechanistically consistent reduced models of synthetic gene networks. Biophysical Journal. 104: 2098-109. PMID 23663853 DOI: 10.1016/J.Bpj.2013.03.031 |
0.366 |
|
2012 |
Radivojevic A, Chachuat B, Bonvin D, Hatzimanikatis V. Exploration of trade-offs between steady-state and dynamic properties in signaling cycles Physical Biology. 9. PMID 22872041 DOI: 10.1088/1478-3975/9/4/045010 |
0.343 |
|
2012 |
Racle J, Overney J, Hatzimanikatis V. A computational framework for the design of optimal protein synthesis. Biotechnology and Bioengineering. 109: 2127-33. PMID 22334333 DOI: 10.1002/Bit.24463 |
0.307 |
|
2012 |
Soh KC, Miskovic L, Hatzimanikatis V. From network models to network responses: integration of thermodynamic and kinetic properties of yeast genome-scale metabolic networks. Fems Yeast Research. 12: 129-43. PMID 22129227 DOI: 10.1111/J.1567-1364.2011.00771.X |
0.438 |
|
2012 |
Brunk E, Neri M, Tavernelli I, Hatzimanikatis V, Rothlisberger U. Integrating computational methods to retrofit enzymes to synthetic pathways. Biotechnology and Bioengineering. 109: 572-82. PMID 21928337 DOI: 10.1002/Bit.23334 |
0.363 |
|
2011 |
Singh A, Cher Soh K, Hatzimanikatis V, Gill RT. Manipulating redox and ATP balancing for improved production of succinate in E. coli. Metabolic Engineering. 13: 76-81. PMID 21040799 DOI: 10.1016/J.Ymben.2010.10.006 |
0.4 |
|
2011 |
Mišković L, Hatzimanikatis V. Modeling of uncertainties in biochemical reactions. Biotechnology and Bioengineering. 108: 413-23. PMID 20830674 DOI: 10.1002/Bit.22932 |
0.408 |
|
2010 |
Jol SJ, Kümmel A, Hatzimanikatis V, Beard DA, Heinemann M. Thermodynamic calculations for biochemical transport and reaction processes in metabolic networks. Biophysical Journal. 99: 3139-44. PMID 21081060 DOI: 10.1016/J.Bpj.2010.09.043 |
0.372 |
|
2010 |
Soh KC, Hatzimanikatis V. DREAMS of metabolism. Trends in Biotechnology. 28: 501-8. PMID 20727603 DOI: 10.1016/J.Tibtech.2010.07.002 |
0.446 |
|
2010 |
Miskovic L, Hatzimanikatis V. Production of biofuels and biochemicals: in need of an ORACLE. Trends in Biotechnology. 28: 391-7. PMID 20646768 DOI: 10.1016/J.Tibtech.2010.05.003 |
0.351 |
|
2010 |
Soh KC, Hatzimanikatis V. Network thermodynamics in the post-genomic era. Current Opinion in Microbiology. 13: 350-7. PMID 20378394 DOI: 10.1016/J.Mib.2010.03.001 |
0.334 |
|
2010 |
Mier-y-Terán-Romero L, Silber M, Hatzimanikatis V. The origins of time-delay in template biopolymerization processes. Plos Computational Biology. 6: e1000726. PMID 20369012 DOI: 10.1371/Journal.Pcbi.1000726 |
0.327 |
|
2010 |
Finley SD, Broadbelt LJ, Hatzimanikatis V. In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene. Bmc Systems Biology. 4: 7. PMID 20122273 DOI: 10.1186/1752-0509-4-7 |
0.312 |
|
2010 |
Henry CS, Broadbelt LJ, Hatzimanikatis V. Discovery and analysis of novel metabolic pathways for the biosynthesis of industrial chemicals: 3-hydroxypropanoate. Biotechnology and Bioengineering. 106: 462-73. PMID 20091733 DOI: 10.1002/Bit.22673 |
0.374 |
|
2009 |
Finley SD, Broadbelt LJ, Hatzimanikatis V. Computational framework for predictive biodegradation. Biotechnology and Bioengineering. 104: 1086-97. PMID 19650084 DOI: 10.1002/Bit.22489 |
0.339 |
|
2009 |
Finley SD, Broadbelt LJ, Hatzimanikatis V. Thermodynamic analysis of biodegradation pathways. Biotechnology and Bioengineering. 103: 532-41. PMID 19288443 DOI: 10.1002/Bit.22285 |
0.301 |
|
2008 |
Zouridis H, Hatzimanikatis V. Effects of codon distributions and tRNA competition on protein translation. Biophysical Journal. 95: 1018-33. PMID 18359800 DOI: 10.1529/Biophysj.107.126128 |
0.315 |
|
2007 |
Thomas R, Paredes CJ, Mehrotra S, Hatzimanikatis V, Papoutsakis ET. A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data. Bmc Bioinformatics. 8: 228. PMID 17603872 DOI: 10.1186/1471-2105-8-228 |
0.317 |
|
2007 |
Feist AM, Henry CS, Reed JL, Krummenacker M, Joyce AR, Karp PD, Broadbelt LJ, Hatzimanikatis V, Palsson BØ. A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information. Molecular Systems Biology. 3: 121. PMID 17593909 DOI: 10.1038/Msb4100155 |
0.436 |
|
2007 |
Henry CS, Broadbelt LJ, Hatzimanikatis V. Thermodynamics-based metabolic flux analysis. Biophysical Journal. 92: 1792-805. PMID 17172310 DOI: 10.1529/Biophysj.106.093138 |
0.408 |
|
2007 |
Zouridis H, Hatzimanikatis V. A model for protein translation: polysome self-organization leads to maximum protein synthesis rates. Biophysical Journal. 92: 717-30. PMID 17098800 DOI: 10.1529/Biophysj.106.087825 |
0.339 |
|
2006 |
González-Lergier J, Broadbelt LJ, Hatzimanikatis V. Analysis of the maximum theoretical yield for the synthesis of erythromycin precursors in Escherichia coli. Biotechnology and Bioengineering. 95: 638-44. PMID 16619212 DOI: 10.1002/Bit.20925 |
0.374 |
|
2006 |
Wang L, Hatzimanikatis V. Metabolic engineering under uncertainty. I: framework development. Metabolic Engineering. 8: 133-41. PMID 16414298 DOI: 10.1016/J.Ymben.2005.11.003 |
0.431 |
|
2006 |
Wang L, Hatzimanikatis V. Metabolic engineering under uncertainty--II: analysis of yeast metabolism. Metabolic Engineering. 8: 142-59. PMID 16413809 DOI: 10.1016/J.Ymben.2005.11.002 |
0.46 |
|
2006 |
Mehra A, Hatzimanikatis V. An algorithmic framework for genome-wide modeling and analysis of translation networks. Biophysical Journal. 90: 1136-46. PMID 16299083 DOI: 10.1529/Biophysj.105.062521 |
0.586 |
|
2006 |
Rieger TR, Morimoto RI, Hatzimanikatis V. Bistability explains threshold phenomena in protein aggregation both in vitro and in vivo. Biophysical Journal. 90: 886-95. PMID 16299080 DOI: 10.1529/Biophysj.105.066662 |
0.748 |
|
2006 |
Henry CS, Jankowski MD, Broadbelt LJ, Hatzimanikatis V. Genome-scale thermodynamic analysis of Escherichia coli metabolism. Biophysical Journal. 90: 1453-61. PMID 16299075 DOI: 10.1529/Biophysj.105.071720 |
0.421 |
|
2006 |
Hatzimanikatis V, Wang L. The systems engineering of cellular processes Computer Aided Chemical Engineering. 21: 71-80. DOI: 10.1016/S1570-7946(06)80028-3 |
0.438 |
|
2005 |
González-Lergier J, Broadbelt LJ, Hatzimanikatis V. Theoretical considerations and computational analysis of the complexity in polyketide synthesis pathways. Journal of the American Chemical Society. 127: 9930-8. PMID 15998100 DOI: 10.1021/Ja051586Y |
0.355 |
|
2005 |
Rieger TR, Morimoto RI, Hatzimanikatis V. Mathematical modeling of the eukaryotic heat-shock response: dynamics of the hsp70 promoter. Biophysical Journal. 88: 1646-58. PMID 15626701 DOI: 10.1529/Biophysj.104.055301 |
0.76 |
|
2005 |
Hatzimanikatis V, Li C, Ionita JA, Henry CS, Jankowski MD, Broadbelt LJ. Exploring the diversity of complex metabolic networks. Bioinformatics (Oxford, England). 21: 1603-9. PMID 15613400 DOI: 10.1093/Bioinformatics/Bti213 |
0.554 |
|
2005 |
Rieger TR, Hatzimanikatis V. Understanding the ultrasensitive responses of tricyclic cascade networks Aiche Annual Meeting, Conference Proceedings. 11697. |
0.757 |
|
2005 |
Wang L, Hatzimanikatis V. Quantitative target identification for metabolic engineering of yeast saccharomyces cerevisiae: Impacts of bioreactor environment Aiche Annual Meeting, Conference Proceedings. 8461. |
0.353 |
|
2005 |
Hatzimanikatis V, Mehra A. Genome-scale analysis of translation in s. cerevisiae: Insights into system response and regulation Aiche Annual Meeting, Conference Proceedings. 8600. |
0.573 |
|
2004 |
Wang L, Birol I, Hatzimanikatis V. Metabolic control analysis under uncertainty: framework development and case studies. Biophysical Journal. 87: 3750-63. PMID 15465856 DOI: 10.1529/Biophysj.104.048090 |
0.461 |
|
2004 |
Thomas R, Mehrotra S, Papoutsakis ET, Hatzimanikatis V. A model-based optimization framework for the inference on gene regulatory networks from DNA array data. Bioinformatics (Oxford, England). 20: 3221-35. PMID 15247105 DOI: 10.1093/Bioinformatics/Bth389 |
0.318 |
|
2004 |
Hatzimanikatis V, Li C, Ionita JA, Broadbelt LJ. Metabolic networks: enzyme function and metabolite structure. Current Opinion in Structural Biology. 14: 300-6. PMID 15193309 DOI: 10.1016/J.Sbi.2004.04.004 |
0.572 |
|
2004 |
Li C, Henry CS, Jankowski MD, Ionita JA, Hatzimanikatis V, Broadbelt LJ. Computational discovery of biochemical routes to specialty chemicals Chemical Engineering Science. 59: 5051-5060. DOI: 10.1016/J.Ces.2004.09.021 |
0.5 |
|
2003 |
Lee PS, Shaw LB, Choe LH, Mehra A, Hatzimanikatis V, Lee KH. Insights into the relation between mrna and protein expression patterns: II. Experimental observations in Escherichia coli. Biotechnology and Bioengineering. 84: 834-41. PMID 14708124 DOI: 10.1002/Bit.10841 |
0.663 |
|
2003 |
Mehra A, Lee KH, Hatzimanikatis V. Insights into the relation between mRNA and protein expression patterns: I. Theoretical considerations. Biotechnology and Bioengineering. 84: 822-33. PMID 14708123 DOI: 10.1002/Bit.10860 |
0.666 |
|
2002 |
Bailey JE, Sburlati A, Hatzimanikatis V, Lee K, Renner WA, Tsai PS. Inverse metabolic engineering: a strategy for directed genetic engineering of useful phenotypes. Biotechnology and Bioengineering. 79: 568-79. PMID 12209828 DOI: 10.1002/bit.10441 |
0.639 |
|
2002 |
Hatzimanikatis V, Liao JC. A memorial review of Jay Bailey's contribution in prokaryotic metabolic engineering. Biotechnology and Bioengineering. 79: 504-8. PMID 12209822 DOI: 10.1002/Bit.10406 |
0.339 |
|
2002 |
Reardon KF, Lee KH, Wittrup KD, Hatzimanikatis V. Jay Bailey as mentor--the students' perspective. Biotechnology and Bioengineering. 79: 484-9. PMID 12209819 DOI: 10.1002/Bit.10402 |
0.689 |
|
1999 |
Hatzimanikatis V, Lee KH. Dynamical Analysis of Gene Networks Requires Both mRNA and Protein Expression Information Metabolic Engineering. 1: 275-281. PMID 10937820 DOI: 10.1006/Mben.1999.0115 |
0.568 |
|
1999 |
Hatzimanikatis V. Nonlinear Metabolic Control Analysis Metabolic Engineering. 1: 75-87. PMID 10935756 DOI: 10.1006/Mben.1998.0108 |
0.457 |
|
1999 |
Hatzimanikatis V, Lee KH, Bailey JE. A mathematical description of regulation of the G1-S transition of the mammalian cell cycle Biotechnology and Bioengineering. 65: 631-637. PMID 10550769 DOI: 10.1002/(Sici)1097-0290(19991220)65:6<631::Aid-Bit3>3.0.Co;2-7 |
0.626 |
|
1999 |
Hatzimanikatis V, Choe LH, Lee KH. Proteomics: Theoretical and experimental considerations Biotechnology Progress. 15: 312-318. PMID 10356248 DOI: 10.1021/Bp990004B |
0.574 |
|
1999 |
Hatzimanikatis V, Bailey JE. Modelling molecular mechanisms within their cellular environment Journal of Biotechnology. 71: 263-265. DOI: 10.1016/S0168-1656(99)00032-2 |
0.539 |
|
1998 |
Hatzimanikatis V, Emmerling M, Sauer U, Bailey JE. Application of mathematical tools for metabolic design of microbial ethanol production Biotechnology and Bioengineering. 58: 154-161. PMID 10191385 DOI: 10.1002/(Sici)1097-0290(19980420)58:2/3<154::Aid-Bit7>3.0.Co;2-K |
0.557 |
|
1997 |
Hatzimanikatis V, Bailey JE. Effects of spatiotemporal variations on metabolic control: approximate analysis using (log)linear kinetic models. Biotechnology and Bioengineering. 54: 91-104. PMID 18634077 DOI: 10.1002/(Sici)1097-0290(19970420)54:2<91::Aid-Bit1>3.0.Co;2-Q |
0.56 |
|
1997 |
Chen R, Hatzimanikatis V, Yap WMGJ, Postma PW, Bailey JE. Metabolic consequences of phosphotransferase (PTS) mutation in a phenylalanine-producing recombinant Escherichia coli Biotechnology Progress. 13: 768-775. PMID 9413135 DOI: 10.1021/Bp970060H |
0.457 |
|
1997 |
Sauer U, Hatzimanikatis V, Bailey JE, Hochuli M, Szyperski T, Wüthrich K. Metabolic fluxes in riboflavin-producing Bacillus subtilis Nature Biotechnology. 15: 448-452. PMID 9131624 DOI: 10.1038/Nbt0597-448 |
0.557 |
|
1997 |
Hatzimanikatis V, Bailey JE. Studies on glycolysis-I. Multiple steady states in bacterial glycolysis Chemical Engineering Science. 52: 2579-2588. DOI: 10.1016/S0009-2509(97)00074-2 |
0.478 |
|
1997 |
Hatzimanikatis V, Bailey JE. Effects of spatiotemporal variations on metabolic control: Approximate analysis using (log)linear kinetic models Biotechnology and Bioengineering. 54: 91-104. DOI: 10.1002/(SICI)1097-0290(19970420)54:2<91::AID-BIT1>3.0.CO;2-Q |
0.474 |
|
1996 |
Hatzimanikatis V, Floudas CA, Bailey JE. Optimization of regulatory architectures in metabolic reaction networks. Biotechnology and Bioengineering. 52: 485-500. PMID 18629921 DOI: 10.1002/(Sici)1097-0290(19961120)52:4<485::Aid-Bit4>3.0.Co;2-L |
0.579 |
|
1996 |
Bailey JE, Sburlati A, Hatzimanikatis V, Lee K, Renner WA, Tsai PS. Inverse metabolic engineering: A strategy for directed genetic engineering of useful phenotypes. Biotechnology and Bioengineering. 52: 109-21. PMID 18629857 DOI: 10.1002/(Sici)1097-0290(19961005)52:1<109::Aid-Bit11>3.0.Co;2-J |
0.666 |
|
1996 |
Tsai PS, Hatzimanikatis V, Bailey JE. Effect of Vitreoscilla hemoglobin dosage on microaerobic Escherichia coli carbon and energy metabolism. Biotechnology and Bioengineering. 49: 139-50. PMID 18623564 DOI: 10.1002/(Sici)1097-0290(19960120)49:2<139::Aid-Bit3>3.0.Co;2-R |
0.499 |
|
1996 |
Hatzimanikatis V, Bailey JE. MCA has more to say Journal of Theoretical Biology. 182: 233-242. PMID 8944154 DOI: 10.1006/Jtbi.1996.0160 |
0.581 |
|
1996 |
Sauer U, Hatzimanikatis V, Hohmann HP, Manneberg M, Van Loon APGM, Bailey JE. Physiology and metabolic fluxes of wild-type and riboflavin-producing Bacillus subtilis Applied and Environmental Microbiology. 62: 3687-3696. PMID 8837424 DOI: 10.1128/Aem.62.10.3687-3696.1996 |
0.497 |
|
1996 |
Hatzimanikatis V, Floudas CA, Bailey JE. Analysis and design of metabolic reaction networks via mixed-integer linear optimization Aiche Journal. 42: 1277-1292. DOI: 10.1002/Aic.690420509 |
0.563 |
|
1996 |
Bonarius HPJ, Hatzimanikatis V, Meesters KPH, De Gooijer CD, Schmid G, Tramper J. Metabolic flux analysis of hybridoma cells in different culture media using mass balances Biotechnology and Bioengineering. 50: 299-318. DOI: 10.1002/(Sici)1097-0290(19960505)50:3<299::Aid-Bit9>3.0.Co;2-B |
0.358 |
|
1996 |
Hatzimanikatis V, Floudas CA, Bailey JE. Analysis and Design of Metabolic Reaction Networks via Mixed-Integer Linear Optimization Aiche Journal. 42: 1277-1290. |
0.31 |
|
1995 |
Renner WA, Lee KH, Hatzimanikatis V, Bailey JE, Eppenberger HM. Recombinant cyclin E expression activates proliferation and obviates surface attachment of chinese hamster ovary (CHO) cells in protein-free medium. Biotechnology and Bioengineering. 47: 476-82. PMID 18623424 DOI: 10.1002/Bit.260470409 |
0.461 |
|
1995 |
Hatzimanikatis V, Lee KH, Renner WA, Bailey JE. A mathematical model for the G1/S transition of the mammalian cell cycle Biotechnology Letters. 17: 669-674. DOI: 10.1007/Bf00130348 |
0.627 |
|
1995 |
Renner WA, Lee KH, Hatzimanikatis V, Bailey JE, Eppenberger HM. Recombinant cyclin E expression activates proliferation and obviates surface attachment of Chinese hamster ovary (CHO) cells in protein-free medium Biotechnology and Bioengineering. 47: 476-482. DOI: 10.1002/bit.260470409 |
0.464 |
|
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