Publication Title Authors Publication Year Sort ascending
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
Metabolic fate of adenine in red blood cells during storage in SAGM solution.

G. Paglia; O.E. Sigurjónsson; A. Bordbar; O. Rolfsson; M. Magnúsdóttir; S. Palsson; K. Wichuk; S. Gudmundsson; B.O. Palsson

2016
Solving puzzles with missing pieces: The power of systems biology

J.T. Yurkovich; B.O. Palsson

2016
A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism.

N. Mih; E. Brunk; A. Bordbar; B.O. Palsson

2016
Identified metabolic signature for assessing red blood cell unit quality is associated with endothelial damage markers and clinical outcomes.

A. Bordbar; P.I. Johansson; G. Paglia; S.J. Harrison; K. Wichuk; M. Magnúsdóttir; S. Valgeirsdottir; M. Gybel-Brask; S.R. Ostrowski; S. Palsson; O. Rolfsson; O.E. Sigurjónsson; M.B. Hansen; S. Gudmundsson; B.O. Palsson

2016
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
ChIP-exo interrogation of Crp, DNA, and RNAP holoenzyme interactions

H. Latif; S. Federowicz; A. Ebrahim; J. Tarasova; R. Szubin; J. Utrilla; K. Zengler; B.O. Palsson

2016
Reliable and efficient solution of genome-scale models of Metabolism and macromolecular Expression.

D. Ma; L. Yang; R.M.T. Fleming; I. Thiele; B.O. Palsson; M.A. Saunders

2016
Quantitative feature extraction from the Chinese hamster ovary bioprocess bibliome using a novel meta-analysis workflow.

A. Golabgir; J.M. Gutierrez; H. Hefzi; S. Li; B.O. Palsson; C. Herwig; N.E. Lewis

2016
BiGG Models: A platform for integrating, standardizing and sharing genome-scale models.

Z.A. King; J. Lu; A. Dräger; P. Miller; S. Federowicz; J.A. Lerman; A. Ebrahim; B.O. Palsson; N.E. Lewis

2016
Systems assessment of transcriptional regulation on central carbon metabolism by Cra and CRP

D. Kim; S.Woo Seo; H. Nam; G.I. Guzman; Y. Gao; B.O. Palsson

2016
Genome-Scale Model Reveals Metabolic Basis of Biomass Partitioning in a Model Diatom.

J. Levering; J. Broddrick; C.L. Dupont; G. Peers; K. Beeri; J. Mayers; A.A. Gallina; A.E. Allen; B.O. Palsson; K. Zengler

2016
Unique attributes of cyanobacterial metabolism revealed by improved genome-scale metabolic modeling and essential gene analysis.

J.T. Broddrick; B.E. Rubin; D.G. Welkie; N. Du; N. Mih; S. Diamond; J.J. Lee; S.S. Golden; B.O. Palsson

2016
Comparative genome-scale modelling of Staphylococcus aureus strains identifies strain-specific metabolic capabilities linked to pathogenicity.

E. Bosi; J.M. Monk; R.K. Aziz; M. Fondi; V. Nizet; B.Ø. Palsson

2016
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