Predicting translation initiation rates for designing synthetic biology
about
Computational tools and algorithms for designing customized synthetic genesHigh-throughput recombinant protein expression in Escherichia coli: current status and future perspectivesSynthetic biology outside the cell: linking computational tools to cell-free systemsAdvances and computational tools towards predictable design in biological engineeringDevelopments in the tools and methodologies of synthetic biologyApplication of sorting and next generation sequencing to study 5΄-UTR influence on translation efficiency in Escherichia coliRationally reduced libraries for combinatorial pathway optimization minimizing experimental effort.Genome engineering for improved recombinant protein expression in Escherichia coli.The Need for Integrated Approaches in Metabolic Engineering.The ribosome in action: Tuning of translational efficiency and protein folding.Generation of Lactococcus lactis capable of coexpressing epidermal growth factor and trefoil factor to enhance in vitro wound healing.Heterogeneous nuclear ribonucleoprotein (hnRNP) L promotes DNA damage-induced cell apoptosis by enhancing the translation of p53.Precise quantification of translation inhibition by mRNA structures that overlap with the ribosomal footprint in N-terminal coding sequences.Optimization-based synthesis of stochastic biocircuits with statistical specifications.Translation efficiency of heterologous proteins is significantly affected by the genetic context of RBS sequences in engineered cyanobacterium Synechocystis sp. PCC 6803.Genome-Wide Analysis Reveals Ancestral Lack of Seventeen Different tRNAs and Clade-Specific Loss of tRNA-CNNs in Archaea.
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P2860
Predicting translation initiation rates for designing synthetic biology
description
2014 nî lūn-bûn
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2014 թուականին հրատարակուած գիտական յօդուած
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2014 թվականին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
Predicting translation initiation rates for designing synthetic biology
@ast
Predicting translation initiation rates for designing synthetic biology
@en
Predicting translation initiation rates for designing synthetic biology
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type
label
Predicting translation initiation rates for designing synthetic biology
@ast
Predicting translation initiation rates for designing synthetic biology
@en
Predicting translation initiation rates for designing synthetic biology
@nl
prefLabel
Predicting translation initiation rates for designing synthetic biology
@ast
Predicting translation initiation rates for designing synthetic biology
@en
Predicting translation initiation rates for designing synthetic biology
@nl
P2860
P3181
P356
P1476
Predicting translation initiation rates for designing synthetic biology
@en
P2093
Benjamin Reeve
Thomas Hargest
P2860
P3181
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10.3389/FBIOE.2014.00001
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P577
2014-01-01T00:00:00Z