Laurence Yang
Laurence Yang
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The Escherichia coli transcriptome mostly consists of independently regulated modules
AV Sastry, Y Gao, R Szubin, Y Hefner, S Xu, D Kim, KS Choudhary, ...
Nature communications 10 (1), 5536, 2019
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
ES Kavvas, E Catoiu, N Mih, JT Yurkovich, Y Seif, N Dillon, D Heckmann, ...
Nature communications 9 (1), 4306, 2018
COBRAme: A computational framework for genome-scale models of metabolism and gene expression
CJ Lloyd, A Ebrahim, L Yang, ZA King, E Catoiu, EJ O’Brien, JK Liu, ...
PLoS computational biology 14 (7), e1006302, 2018
EMILiO: a fast algorithm for genome-scale strain design
L Yang, WR Cluett, R Mahadevan
Metabolic engineering 13 (3), 272-281, 2011
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, JT Yurkovich, CJ Lloyd, Y Gao, ...
Proceedings of the National Academy of Sciences 114 (38), 10286-10291, 2017
Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655
Y Gao, JT Yurkovich, SW Seo, I Kabimoldayev, A Dräger, K Chen, ...
Nucleic Acids Research 46 (20), 10682-10696, 2018
Characterizing strain variation in engineered E. coli using a multi-omics-based workflow
E Brunk, KW George, J Alonso-Gutierrez, M Thompson, E Baidoo, ...
Cell systems 2 (5), 335-346, 2016
Cellular responses to reactive oxygen species are predicted from molecular mechanisms
L Yang, N Mih, A Anand, JH Park, J Tan, JT Yurkovich, JM Monk, CJ Lloyd, ...
Proc Natl Acad Sci USA 116 (28), 14368-14373, 2019
Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation
K Chen, Y Gao, N Mih, EJ O’Brien, L Yang, BO Palsson
Proceedings of the National Academy of Sciences 114 (43), 11548-11553, 2017
BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data
JC Lachance, CJ Lloyd, JM Monk, L Yang, AV Sastry, Y Seif, BO Palsson, ...
PLoS computational biology 15 (4), e1006971, 2019
Dynamic strain scanning optimization: an efficient strain design strategy for balanced yield, titer, and productivity. DySScO strategy for strain design
K Zhuang, L Yang, WR Cluett, R Mahadevan
BMC biotechnology 13, 1-15, 2013
A biochemically-interpretable machine learning classifier for microbial GWAS
ES Kavvas, L Yang, JM Monk, D Heckmann, BO Palsson
Nature communications 11 (1), 2580, 2020
Adaptive evolution reveals a tradeoff between growth rate and oxidative stress during naphthoquinone-based aerobic respiration
A Anand, K Chen, L Yang, AV Sastry, CA Olson, S Poudel, Y Seif, ...
Proceedings of the National Academy of Sciences 116 (50), 25287-25292, 2019
Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks
JT Yurkovich, DC Zielinski, L Yang, G Paglia, O Rolfsson, ...
Journal of Biological Chemistry 292 (48), 19556-19564, 2017
solveME: fast and reliable solution of nonlinear ME models
L Yang, D Ma, A Ebrahim, CJ Lloyd, MA Saunders, BO Palsson
BMC Bioinformatics 17 (1), 391, 2016
Modeling the multi-scale mechanisms of macromolecular resource allocation
L Yang, JT Yurkovich, ZA King, BO Palsson
Current opinion in microbiology 45, 8-15, 2018
OxyR is a convergent target for mutations acquired during adaptation to oxidative stress-prone metabolic states
A Anand, K Chen, E Catoiu, AV Sastry, CA Olson, TE Sandberg, Y Seif, ...
Molecular biology and evolution 37 (3), 660-667, 2020
DynamicME: dynamic simulation and refinement of integrated models of metabolism and protein expression
L Yang, A Ebrahim, CJ Lloyd, MA Saunders, BO Palsson
BMC systems biology 13, 1-15, 2019
Metabolic and genetic basis for auxotrophies in Gram-negative species
Y Seif, KS Choudhary, Y Hefner, A Anand, L Yang, BO Palsson
Proceedings of the National Academy of Sciences 117 (11), 6264-6273, 2020
Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data
L Yang, J Tan, EJ O’Brien, JM Monk, D Kim, HJ Li, P Charusanti, ...
Proceedings of the National Academy of Sciences 112 (34), 10810-10815, 2015
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