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Innov X Systems innov'sar
Innov'sar, supplied by Innov X Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/innov'sar/innov%E2%80%99sar/10__1016_slash_j__mcat__2024__114494-39-12-0
Average 90 stars, based on 1 article reviews
innov'sar - by Bioz Stars, 2026-09
90/100 stars

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Related Articles

Mutagenesis:

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR can be used with other deterministic regression algorithms (Principal component regression, Lasso regression, Ridge regression models...), stochastic regression algorithms (ANOVA -analysis of variance- models; Linear, generalized linear, and nonlinear mixed models...), or black box type algorithms in models based on artificial neural networks.

Article Title: One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.
Article Snippet: Purdue Institute of Inflammation, Immunology and Infectious Disease, Molecular Evolution, Protein Engineering and Production, Purdue University, West Lafayette, Indiana Institute of Molecular Biotechnology, RWTH Aachen University, Aachen, Germany PEACCEL – Protein Engineering Accelerator, Paris, France Aquila Biolabs GmbH, Baesweiler, Germany Faculty of Chemistry, University of Belgrade, Belgrade, Serbia Université de Nantes, Nantes, France Departments of Biological Sciences and Chemistry, Purdue University, West Lafayette, Indiana

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR comprises three steps: i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database; ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide
Article Snippet: Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides.. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations.. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii.

Article Title: The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes.
Article Snippet: Directed evolution of stereo-, regioand chemoselective enzymes provides a means to generate biocatalysts for synthetically interesting transformations.. In order for this protein engineering technique to be efficient, fast and reliable, and of relevance to organic chemistry, methodology development was and still is necessary.. Following a description of early contributions, this review focuses on recent developments originating from various groups.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation.
Article Snippet: Innov'SAR comprises three steps:[7] i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov’SAR comprises three steps:[7] 1) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] 2) modelling phase (comprising Fast Fourier Transformation (FFT) as a digital signal processing technique); and 3) predictive phase.

Activity Assay:

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR can be used with other deterministic regression algorithms (Principal component regression, Lasso regression, Ridge regression models...), stochastic regression algorithms (ANOVA -analysis of variance- models; Linear, generalized linear, and nonlinear mixed models...), or black box type algorithms in models based on artificial neural networks.

Article Title: One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.
Article Snippet: Purdue Institute of Inflammation, Immunology and Infectious Disease, Molecular Evolution, Protein Engineering and Production, Purdue University, West Lafayette, Indiana Institute of Molecular Biotechnology, RWTH Aachen University, Aachen, Germany PEACCEL – Protein Engineering Accelerator, Paris, France Aquila Biolabs GmbH, Baesweiler, Germany Faculty of Chemistry, University of Belgrade, Belgrade, Serbia Université de Nantes, Nantes, France Departments of Biological Sciences and Chemistry, Purdue University, West Lafayette, Indiana

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR comprises three steps: i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database; ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide
Article Snippet: Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides.. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations.. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii.

Article Title: The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes.
Article Snippet: Directed evolution of stereo-, regioand chemoselective enzymes provides a means to generate biocatalysts for synthetically interesting transformations.. In order for this protein engineering technique to be efficient, fast and reliable, and of relevance to organic chemistry, methodology development was and still is necessary.. Following a description of early contributions, this review focuses on recent developments originating from various groups.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation.
Article Snippet: Innov'SAR comprises three steps:[7] i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov’SAR comprises three steps:[7] 1) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] 2) modelling phase (comprising Fast Fourier Transformation (FFT) as a digital signal processing technique); and 3) predictive phase.

Binding Assay:

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR can be used with other deterministic regression algorithms (Principal component regression, Lasso regression, Ridge regression models...), stochastic regression algorithms (ANOVA -analysis of variance- models; Linear, generalized linear, and nonlinear mixed models...), or black box type algorithms in models based on artificial neural networks.

Article Title: One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.
Article Snippet: Purdue Institute of Inflammation, Immunology and Infectious Disease, Molecular Evolution, Protein Engineering and Production, Purdue University, West Lafayette, Indiana Institute of Molecular Biotechnology, RWTH Aachen University, Aachen, Germany PEACCEL – Protein Engineering Accelerator, Paris, France Aquila Biolabs GmbH, Baesweiler, Germany Faculty of Chemistry, University of Belgrade, Belgrade, Serbia Université de Nantes, Nantes, France Departments of Biological Sciences and Chemistry, Purdue University, West Lafayette, Indiana

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR comprises three steps: i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database; ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide
Article Snippet: Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides.. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations.. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii.

Article Title: The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes.
Article Snippet: Directed evolution of stereo-, regioand chemoselective enzymes provides a means to generate biocatalysts for synthetically interesting transformations.. In order for this protein engineering technique to be efficient, fast and reliable, and of relevance to organic chemistry, methodology development was and still is necessary.. Following a description of early contributions, this review focuses on recent developments originating from various groups.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation.
Article Snippet: Innov'SAR comprises three steps:[7] i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov’SAR comprises three steps:[7] 1) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] 2) modelling phase (comprising Fast Fourier Transformation (FFT) as a digital signal processing technique); and 3) predictive phase.

Sequencing:

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR can be used with other deterministic regression algorithms (Principal component regression, Lasso regression, Ridge regression models...), stochastic regression algorithms (ANOVA -analysis of variance- models; Linear, generalized linear, and nonlinear mixed models...), or black box type algorithms in models based on artificial neural networks.

Article Title: One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.
Article Snippet: Purdue Institute of Inflammation, Immunology and Infectious Disease, Molecular Evolution, Protein Engineering and Production, Purdue University, West Lafayette, Indiana Institute of Molecular Biotechnology, RWTH Aachen University, Aachen, Germany PEACCEL – Protein Engineering Accelerator, Paris, France Aquila Biolabs GmbH, Baesweiler, Germany Faculty of Chemistry, University of Belgrade, Belgrade, Serbia Université de Nantes, Nantes, France Departments of Biological Sciences and Chemistry, Purdue University, West Lafayette, Indiana

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR comprises three steps: i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database; ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide
Article Snippet: Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides.. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations.. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii.

Article Title: The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes.
Article Snippet: Directed evolution of stereo-, regioand chemoselective enzymes provides a means to generate biocatalysts for synthetically interesting transformations.. In order for this protein engineering technique to be efficient, fast and reliable, and of relevance to organic chemistry, methodology development was and still is necessary.. Following a description of early contributions, this review focuses on recent developments originating from various groups.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation.
Article Snippet: Innov'SAR comprises three steps:[7] i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov’SAR comprises three steps:[7] 1) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] 2) modelling phase (comprising Fast Fourier Transformation (FFT) as a digital signal processing technique); and 3) predictive phase.

Transformation Assay:

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR can be used with other deterministic regression algorithms (Principal component regression, Lasso regression, Ridge regression models...), stochastic regression algorithms (ANOVA -analysis of variance- models; Linear, generalized linear, and nonlinear mixed models...), or black box type algorithms in models based on artificial neural networks.

Article Title: One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.
Article Snippet: Purdue Institute of Inflammation, Immunology and Infectious Disease, Molecular Evolution, Protein Engineering and Production, Purdue University, West Lafayette, Indiana Institute of Molecular Biotechnology, RWTH Aachen University, Aachen, Germany PEACCEL – Protein Engineering Accelerator, Paris, France Aquila Biolabs GmbH, Baesweiler, Germany Faculty of Chemistry, University of Belgrade, Belgrade, Serbia Université de Nantes, Nantes, France Departments of Biological Sciences and Chemistry, Purdue University, West Lafayette, Indiana

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR comprises three steps: i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database; ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide
Article Snippet: Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides.. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations.. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii.

Article Title: The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes.
Article Snippet: Directed evolution of stereo-, regioand chemoselective enzymes provides a means to generate biocatalysts for synthetically interesting transformations.. In order for this protein engineering technique to be efficient, fast and reliable, and of relevance to organic chemistry, methodology development was and still is necessary.. Following a description of early contributions, this review focuses on recent developments originating from various groups.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation.
Article Snippet: Innov'SAR comprises three steps:[7] i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov’SAR comprises three steps:[7] 1) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] 2) modelling phase (comprising Fast Fourier Transformation (FFT) as a digital signal processing technique); and 3) predictive phase.

Library Screening:

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR can be used with other deterministic regression algorithms (Principal component regression, Lasso regression, Ridge regression models...), stochastic regression algorithms (ANOVA -analysis of variance- models; Linear, generalized linear, and nonlinear mixed models...), or black box type algorithms in models based on artificial neural networks.

Article Title: One-shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators.
Article Snippet: Purdue Institute of Inflammation, Immunology and Infectious Disease, Molecular Evolution, Protein Engineering and Production, Purdue University, West Lafayette, Indiana Institute of Molecular Biotechnology, RWTH Aachen University, Aachen, Germany PEACCEL – Protein Engineering Accelerator, Paris, France Aquila Biolabs GmbH, Baesweiler, Germany Faculty of Chemistry, University of Belgrade, Belgrade, Serbia Université de Nantes, Nantes, France Departments of Biological Sciences and Chemistry, Purdue University, West Lafayette, Indiana

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov'SAR comprises three steps: i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database; ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Rational design of the substrate binding pocket in epoxide hydrolase for enhanced enantioselectivity towards chiral ortho-methylstyrene oxide
Article Snippet: Epoxide hydrolases are crucial enzymes for the stereospecific hydrolysis of racemic epoxides, serving as biocatalysts for synthesizing optically pure epoxides.. The (S)-ortho-methylstyrene oxide (oMSO) is a valuable chiral building block in asymmetric organic transformations.. Our lab previously elucidated the crystal structure of AuEH2, an epoxide hydrolase from Aspergillus usamii.

Article Title: The Crucial Role of Methodology Development in Directed Evolution of Selective Enzymes.
Article Snippet: Directed evolution of stereo-, regioand chemoselective enzymes provides a means to generate biocatalysts for synthetically interesting transformations.. In order for this protein engineering technique to be efficient, fast and reliable, and of relevance to organic chemistry, methodology development was and still is necessary.. Following a description of early contributions, this review focuses on recent developments originating from various groups.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation.
Article Snippet: Innov'SAR comprises three steps:[7] i) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] ii) modelling phase (comprising fast Fourier transformation (FFT) as a digital signal processing technique); and iii) predictive phase.

Article Title: Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
Article Snippet: Innov’SAR comprises three steps:[7] 1) encoding phase (encoding the alphabetic protein sequence into a numerical sequence using the physicochemical properties of the amino acid residues based on an index of the AA index database;[14] 2) modelling phase (comprising Fast Fourier Transformation (FFT) as a digital signal processing technique); and 3) predictive phase.



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