Engineering proteinase K using machine learning and synthetic genes
about
Design parameters to control synthetic gene expression in Escherichia coliBeyond directed evolution--semi-rational protein engineering and designExploiting models of molecular evolution to efficiently direct protein engineeringA family of thermostable fungal cellulases created by structure-guided recombinationReconstructed evolutionary adaptive paths give polymerases accepting reversible terminators for sequencing and SNP detectionProtein engineering of improved prolyl endopeptidases for celiac sprue therapyRedesigning and characterizing the substrate specificity and activity of Vibrio fluvialis aminotransferase for the synthesis of imagabalinKinetic Characterization of 100 Glycoside Hydrolase Mutants Enables the Discovery of Structural Features Correlated with Kinetic ConstantsA novel scoring function for discriminating hyperthermophilic and mesophilic proteins with application to predicting relative thermostability of protein mutantsBiocatalytic asymmetric synthesis of chiral amines from ketones applied to sitagliptin manufacture.Engineering genes for predictable protein expressionEnhancing the efficiency of directed evolution in focused enzyme libraries by the adaptive substituent reordering algorithm.In silico classification of proteins from acidic and neutral cytoplasms.Navigating the protein fitness landscape with Gaussian processesConstructing de novo biosynthetic pathways for chemical synthesis inside living cells.Directed enzyme evolution: climbing fitness peaks one amino acid at a time.Microbial proteases: detection, production, and genetic improvement.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Improving biocatalyst performance by integrating statistical methods into protein engineering.Learning epistatic interactions from sequence-activity data to predict enantioselectivity.Exploring sequence-function space of a poplar glutathione transferase using designed information-rich gene variants.Survey of protein engineering strategiesModulating substrate specificity of histone acetyltransferase with unnatural amino acids
P2860
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P2860
Engineering proteinase K using machine learning and synthetic genes
description
2007 nî lūn-bûn
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2007 թուականին հրատարակուած գիտական յօդուած
@hyw
2007 թվականին հրատարակված գիտական հոդված
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2007年の論文
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2007年論文
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2007年論文
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2007年論文
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2007年論文
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2007年論文
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2007年论文
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name
Engineering proteinase K using machine learning and synthetic genes
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Engineering proteinase K using machine learning and synthetic genes
@en
Engineering proteinase K using machine learning and synthetic genes
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Engineering proteinase K using machine learning and synthetic genes
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type
label
Engineering proteinase K using machine learning and synthetic genes
@ast
Engineering proteinase K using machine learning and synthetic genes
@en
Engineering proteinase K using machine learning and synthetic genes
@en-gb
Engineering proteinase K using machine learning and synthetic genes
@nl
prefLabel
Engineering proteinase K using machine learning and synthetic genes
@ast
Engineering proteinase K using machine learning and synthetic genes
@en
Engineering proteinase K using machine learning and synthetic genes
@en-gb
Engineering proteinase K using machine learning and synthetic genes
@nl
P2093
P2860
P356
P1433
P1476
Engineering proteinase K using machine learning and synthetic genes
@en
P2093
Jeremy Minshull
Jon E Ness
Manfred K Warmuth
Rebecca P Wang
Sridhar Govindarajan
P2860
P2888
P356
10.1186/1472-6750-7-16
P407
P577
2007-01-01T00:00:00Z
P5875
P6179
1035802589