Zachary A. King
Zachary A. King
DevOps Engineer, Amyris
Verified email at ucsd.edu
Title
Cited by
Cited by
Year
Constraint-based models predict metabolic and associated cellular functions
A Bordbar, JM Monk, ZA King, BO Palsson
Nature Reviews Genetics 15 (2), 107-120, 2014
6862014
BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
ZA King, J Lu, A Dräger, P Miller, S Federowicz, JA Lerman, A Ebrahim, ...
Nucleic acids research 44 (D1), D515-D522, 2016
5192016
Escher: a web application for building, sharing, and embedding data-rich visualizations of biological pathways
ZA King, A Dräger, A Ebrahim, N Sonnenschein, NE Lewis, BO Palsson
PLoS computational biology 11 (8), e1004321, 2015
2262015
In vitro and in vivo evaluation of PEDOT microelectrodes for neural stimulation and recording
S Venkatraman, J Hendricks, ZA King, AJ Sereno, S Richardson-Burns, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 19 (3 …, 2011
2232011
iML1515, a knowledgebase that computes Escherichia coli traits
JM Monk, CJ Lloyd, E Brunk, N Mih, A Sastry, Z King, R Takeuchi, ...
Nature biotechnology 35 (10), 904-908, 2017
2122017
The morphology of poly (3, 4-ethylenedioxythiophene)
DC Martin, J Wu, CM Shaw, Z King, SA Spanninga, S Richardson-Burns, ...
Polymer Reviews 50 (3), 340-384, 2010
1762010
Next-generation genome-scale models for metabolic engineering
ZA King, CJ Lloyd, AM Feist, BO Palsson
Current opinion in biotechnology 35, 23-29, 2015
1712015
A consensus genome-scale reconstruction of Chinese hamster ovary cell metabolism
H Hefzi, KS Ang, M Hanscho, A Bordbar, D Ruckerbauer, M Lakshmanan, ...
Cell Systems 3 (5), 434-443. e8, 2016
1552016
MEMOTE for standardized genome-scale metabolic model testing
C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ...
Nature biotechnology 38 (3), 272-276, 2020
131*2020
Structural, chemical and electrochemical characterization of poly (3, 4-Ethylenedioxythiophene)(PEDOT) prepared with various counter-ions and heat treatments
ZA King, CM Shaw, SA Spanninga, DC Martin
Polymer 52 (5), 1302-1308, 2011
922011
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
86*2018
A model‐driven quantitative metabolomics analysis of aerobic and anaerobic metabolism in E. coli K‐12 MG1655 that is biochemically and thermodynamically …
D McCloskey, JA Gangoiti, ZA King, RK Naviaux, BA Barshop, ...
Biotechnology and bioengineering 111 (4), 803-815, 2014
622014
The y-ome defines the 35% of Escherichia coli genes that lack experimental evidence of function
S Ghatak, ZA King, A Sastry, BO Palsson
Nucleic acids research 47 (5), 2446-2454, 2019
592019
Co-electrodeposited hydrogel-conducting polymer electrodes for biomedical applications
S Richardson-Burns, JL Hendricks, DC Martin, A Sereno, Z King, E Jan
US Patent 9,084,546, 2015
562015
BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree
CJ Norsigian, N Pusarla, JL McConn, JT Yurkovich, A Dräger, BO Palsson, ...
Nucleic acids research 48 (D1), D402-D406, 2020
532020
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), 1-14, 2019
442019
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
38*2019
Optimizing cofactor specificity of oxidoreductase enzymes for the generation of microbial production strains—OptSwap
ZA King, AM Feist
Industrial Biotechnology 9 (4), 236-246, 2013
372013
Optimal cofactor swapping can increase the theoretical yield for chemical production in Escherichia coli and Saccharomyces cerevisiae
ZA King, AM Feist
Metabolic engineering 24, 117-128, 2014
352014
Literature mining supports a next-generation modeling approach to predict cellular byproduct secretion
ZA King, EJ O'Brien, AM Feist, BO Palsson
Metabolic Engineering 39, 220–227, 2017
282017
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