| Publication Title | Authors | Publication Year Sort ascending |
|---|---|---|
| Dissecting the genetic and metabolic mechanisms of adaptation to the knockout of a major metabolic enzyme in Escherichia coli. | C.P. Long; J.E. Gonzalez; A.M. Feist; B.O. Palsson; M.R. Antoniewicz |
2017 |
| Expanding The Computable Reactome In Pseudomonas putida Reveals Metabolic Cycles Providing Robustness | J. Nogales; S. Gudmundsson; E. Duque; J.Lewis Ramos; B.O. Palsson |
2017 |
| Antibiotic-Induced Changes to the Host Metabolic Environment Inhibit Drug Efficacy and Alter Immune Function. | J.H. Yang; P. Bhargava; D. McCloskey; N. Mao; B.O. Palsson; J.J. Collins |
2017 |
| Revealing genome-scale transcriptional regulatory landscape of OmpR highlights its expanded regulatory roles under osmotic stress in Escherichia coli K-12 MG1655. | S.Woo Seo; Y. Gao; D. Kim; R. Szubin; J. Yang; B.K. Cho; B.O. Palsson |
2017 |
| Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution. | E.T. Mohamed; S. Wang; R.M. Lennen; M.J. Herrgard; B.A. Simmons; S.W. Singer; A.M. Feist |
2017 |
| Laboratory Evolution to Alternating Substrate Environments Yields Distinct Phenotypic and Genetic Adaptive Strategies. | T.E. Sandberg; C.J. Lloyd; B.O. Palsson; A.M. Feist |
2017 |
| Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks. | J.T. Yurkovich; D.C. Zielinski; L. Yang; G. Paglia; O. Rolfsson; O.E. Sigurjónsson; J.T. Broddrick; A. Bordbar; K. Wichuk; S. Brynjólfsson; S. Palsson; S. Gudmundsson; B.O. Palsson |
2017 |
| Machine Learning in Computational Biology to Accelerate High-Throughput Protein Expression. | A. Sastry; J. Monk; H. Tegel; M. Uhlen; B.O. Palsson; J. Rockberg; E. Brunk |
2017 |
| iML1515, a knowledgebase that computes Escherichia coli traits. | J.M. Monk; C.J. Lloyd; E. Brunk; N. Mih; A. Sastry; Z. King; R. Takeuchi; W. Nomura; Z. Zhang; H. Mori; A.M. Feist; B.O. Palsson |
2017 |
| Metabolomics comparison of red cells stored in four additive solutions reveals differences in citrate anticoagulant permeability and metabolism. | Ó. Rolfsson; Ó.E. Sigurjonsson; M. Magnusdottir; F. Johannsson; G. Paglia; S. Guðmundsson; A. Bordbar; S. Palsson; S. Brynjólfsson; S. Guðmundsson; B. Palsson |
2017 |
| Utilizing biomarkers to forecast quantitative metabolite concentration profiles in human red blood cells | J.T. Yurkovich; L. Yang; B.O. Palsson |
2017 |
| Elucidating dynamic metabolic physiology through network integration of quantitative time-course metabolomics. | A. Bordbar; J.T. Yurkovich; G. Paglia; O. Rolfsson; O.E. Sigurjónsson; B.O. Palsson |
2017 |
| Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation | K. Chen; Y. Gao; N. Mih; E.J. ’ Brien; L. Yang; B.O. Palsson |
2017 |
| Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells. | J.T. Yurkovich; L. Yang; B.O. Palsson |
2017 |
| A Padawan Programmer’s Guide to Developing Software Libraries | J.T. Yurkovich; B.J. Yurkovich; A. Draeger; B.O. Palsson; Z.A. King |
2017 |
| Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellular flux rewiring. | C.P. Long; J.E. Gonzalez; A.M. Feist; B.O. Palsson; M.R. Antoniewicz |
2017 |
| A Model for Designing Adaptive Laboratory Evolution Experiments. | R.A. LaCroix; B.O. Palsson; A.M. Feist |
2017 |
| Global transcriptional regulatory network for Escherichia coli robustly connects gene expression to transcription factor activities. | X. Fang; A. Sastry; N. Mih; D. Kim; J. Tan; J.T. Yurkovich; C.J. Lloyd; Y. Gao; L. Yang; B.O. Palsson |
2017 |
| Integrated Regulatory and Metabolic Networks of the Marine Diatom Phaeodactylum tricornutum Predict the Response to Rising CO2 Levels. | J. Levering; C.L. Dupont; A.E. Allen; B.O. Palsson; K. Zengler |
2017 |
| Underground metabolism: network-level perspective and biotechnological potential | R.A. Notebaart; álint Kintses; A.M. Feist; ázs Papp |
2017 |
| Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism. | D.C. Zielinski; N. Jamshidi; A.J. Corbett; A. Bordbar; A. Thomas; B.O. Palsson |
2017 |
| Mannose and fructose metabolism in red blood cells during cold storage in SAGM. | O. Rolfsson; F. Johannsson; M. Magnúsdóttir; G. Paglia; O.E. Sigurjónsson; A. Bordbar; S. Palsson; S. Brynjólfsson; S. Guðmundsson; B. Palsson |
2017 |
| Whole-Genome Sequencing of Invasion-Resistant Cells Identifies Laminin α2 as a Host Factor for Bacterial Invasion. | X.M. van Wijk; S. Döhrmann; B.M. Hallström; S. Li; B.G. Voldborg; B.X. Meng; K.K. McKee; T.H. van Kuppevelt; P.D. Yurchenco; B.O. Palsson; N.E. Lewis; V. Nizet; J.D. Esko |
2017 |
| COBRAme: A Computational Framework for Building and Manipulating Models of Metabolism and Gene Expression | C.J. Lloyd; A. Ebrahim; L. Yang; Z.A. King; E. Catoiu; E.J. O'Brien; J.K. Liu; B.O. Palsson |
2017 |
| Literature mining supports a next-generation modeling approach to predict cellular byproduct secretion. | Z.A. King; E.J. O'Brien; A.M. Feist; B.O. Palsson |
2016 |
| Evaluation of rate law approximations in bottom-up kinetic models of metabolism. | B. Du; D.C. Zielinski; E.S. Kavvas; A. Dräger; J. Tan; Z. Zhang; K.E. Ruggiero; G.A. Arzumanyan; B.O. Palsson |
2016 |
| A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism. | H. Hefzi; K.Siong Ang; M. Hanscho; A. Bordbar; D. Ruckerbauer; M. Lakshmanan; C.A. Orellana; D. Baycin-Hizal; Y. Huang; D. Ley; V.S. Martinez; S. Kyriakopoulos; N.E. Jiménez; D.C. Zielinski; L.E. Quek; T. Wulff; J. Arnsdorf; S. Li; J.Seong Lee; G. Paglia; N. Loira; P.N. Spahn; L.E. Pedersen; J.M. Gutierrez; Z.A. King; A.Mathilde Lund; H. Nagarajan; A. Thomas; A.M. Abdel-Haleem; J. Zanghellini; H.F. Kildegaard; B.G. Voldborg; Z.P. Gerdtzen; M.J. Betenbaugh; B.O. Palsson; M.R. Andersen; L.K. Nielsen; N. Borth; D.Y. Lee; N.E. Lewis |
2016 |
| What do cells actually want? | A.M. Feist; B.O. Palsson |
2016 |
| The aldehyde dehydrogenase, AldA, is essential for L-1,2-propanediol utilization in laboratory-evolved Escherichia coli | R.K. Aziz; J.M. Monk; K.A. Andrews; J. Nhan; V.J. Khaw; H. Wong; B.O. Palsson; P. Charusanti |
2016 |
| Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow. | E. Brunk; K.W. George; J. Alonso-Gutierrez; M. Thompson; E. Baidoo; G. Wang; C.J. Petzold; D. McCloskey; J. Monk; L. Yang; E.J. O'Brien; T.S. Batth; H.Garcia Martin; A. Feist; P.D. Adams; J.D. Keasling; B.O. Palsson; T.Soon Lee |
2016 |