Computational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experiments
about
Using Genome-scale Models to Predict Biological CapabilitiesDesign and characterization of auxotrophy-based amino acid biosensors.Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methodsCombinatorial and high-throughput screening approaches for strain engineering.Applications of genetically-encoded biosensors for the construction and control of biosynthetic pathways.Less is more: selective advantages can explain the prevalent loss of biosynthetic genes in bacteria.
P2860
Computational design of auxotrophy-dependent microbial biosensors for combinatorial metabolic engineering experiments
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2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Computational design of auxotr ...... abolic engineering experiments
@ast
Computational design of auxotr ...... abolic engineering experiments
@en
Computational design of auxotr ...... abolic engineering experiments
@nl
type
label
Computational design of auxotr ...... abolic engineering experiments
@ast
Computational design of auxotr ...... abolic engineering experiments
@en
Computational design of auxotr ...... abolic engineering experiments
@nl
prefLabel
Computational design of auxotr ...... abolic engineering experiments
@ast
Computational design of auxotr ...... abolic engineering experiments
@en
Computational design of auxotr ...... abolic engineering experiments
@nl
P2860
P1433
P1476
Computational design of auxotr ...... abolic engineering experiments
@en
P2093
Naama Tepper
Tomer Shlomi
P2860
P304
P356
10.1371/JOURNAL.PONE.0016274
P407
P577
2011-01-21T00:00:00Z