A Markov model of glycosylation elucidates isozyme specificity and glycosyltransferase interactions for glycoengineering
Chenguang Liang(University of California San Diego), Nathan E. Lewis(University of Georgia), Austin W.T. Chiang(Foundation Center), Bokan Bao(University of California San Diego), Benjamin P. Kellman(Ragon Institute of MGH, MIT and Harvard), Sanne Schoffelen(Novo Nordisk Foundation), Anders Holmgaard Hansen(Novo Nordisk Foundation), James T. Sorrentino(University of California San Diego), Björn G. Voldborg(Novo Nordisk Foundation), Johnny Arnsdorf(Novo Nordisk Foundation)
Cited by 32
Related Papers
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
|Nature Protocols|2011|1.9k
Deciphering cell–cell interactions and communication from gene expression
|Nature Reviews Genetics|2020|1.3k
BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
|Nucleic Acids Research|2015|1k
Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models
|Molecular Systems Biology|2010|826
Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
|Nature Reviews Microbiology|2012|809