| ssbio: A Python Framework for Structural Systems Biology |
N. Mih; E. Brunk; K. Chen; E. Catoiu; A. Sastry; E. Kavvas; J.M. Monk; Z. Zhang; B.O. Palsson |
2018 |
| 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 |
| Metabolic Models of Protein Allocation Call for the Kinetome. |
A. Nilsson; J. Nielsen; B.O. Palsson |
2017 |
| Topological and Kinetic Determinants of the Modal Matrices of Dynamic Models of Metabolism |
B. Du; D.C. Zielinski; B.O. Palsson |
2017 |
| 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 |
| Construction and Evaluation of an Organic Anion Transporter 1 (OAT1)-Centered Metabolic Network. |
H.C. Liu; N. Jamshidi; Y. Chen; S.A. Eraly; S.Yee Cho; V. Bhatnagar; W. Wu; K.T. Bush; R. Abagyan; B.O. Palsson; S.K. Nigam |
2016 |
| Increased production of L-serine in Escherichia coli through Adaptive Laboratory Evolution. |
H. Mundhada; J.M. Seoane; K. Schneider; A. Koza; H.B. Christensen; T. Klein; P.V. Phaneuf; M. Herrgard; A.M. Feist; A.T. Nielsen |
2016 |
| Quantification and Classification of E. coli Proteome Utilization and Unused Protein Costs across Environments. |
E.J. O'Brien; J. Utrilla; B.O. Palsson |
2016 |