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Computational design to efficiently search, map, and optimize multi-protein genetic systems in gram-negative and gram-positive bacteria

bioRxiv

Dec 2, 2013

Iman FarasatHoward M Salis

Abstract

Engineering multi-protein genetic systems to maximize their performance remains a combinatorial challenge, particularly when measurement throughput is limited. We have developed a computational design and modeling approach to build predictive models and identify optimal expression level...read more

Mentioned in this Paper

RRBP1 gene
Protein Biosynthesis Pathway
Metabolic Process, Cellular
Anabolism
Anatomical Space Structure
Biochemical Pathway
Metabolism
Metabolic Aspects
Plasmids
Bacillus subtilis
7
3
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Computational design to efficiently search, map, and optimize multi-protein genetic systems in gram-negative and gram-positive bacteria

bioRxiv

Dec 2, 2013

Iman FarasatHoward M Salis

PMID: 990001008

DOI: 10.1101/001008

Abstract

Engineering multi-protein genetic systems to maximize their performance remains a combinatorial challenge, particularly when measurement throughput is limited. We have developed a computational design and modeling approach to build predictive models and identify optimal expression level...read more

Mentioned in this Paper

RRBP1 gene
Protein Biosynthesis Pathway
Metabolic Process, Cellular
Anabolism
Anatomical Space Structure
Biochemical Pathway
Metabolism
Metabolic Aspects
Plasmids
Bacillus subtilis
7
3

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