Additional file 1 of Engineering of l-threonine and l-proline biosensors by directed evolution of transcriptional regulator SerR and application for high-throughput screening

Supplementary Material 1: Fig. S1. Protein structure modeling of SerR. Fig. S2. The distance between the residue F104 and the effector l-serine. Fig. S3. Flow cytometry analysis of the random mutation library of Hom. Fig. S4. Flow cytometry analysis of the random mutation library of ProB. Table S1. Strains and plasmids used in this study. Table S2. Primers used in this study. Table S3. Characterization of Hom mutants. Table S4. Characterization of ProB mutants.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28236984.v1
Primary Topic
Amino Acid Enzymes and Metabolism
Type
article
Field-Weighted Citation Impact
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article

Additional file 1 of Engineering of l-threonine and l-proline biosensors by directed evolution of transcriptional regulator SerR and application for high-throughput screening

Figshare
Amino Acid Enzymes and Metabolism
article

Additional file 1 of Engineering of l-threonine and l-proline biosensors by directed evolution of transcriptional regulator SerR and application for high-throughput screening

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Abstract

Supplementary Material 1: Fig. S1. Protein structure modeling of SerR. Fig. S2. The distance between the residue F104 and the effector l-serine. Fig. S3. Flow cytometry analysis of the random mutation library of Hom. Fig. S4. Flow cytometry analysis of the random mutation library of ProB. Table S1. Strains and plasmids used in this study. Table S2. Primers used in this study. Table S3. Characterization of Hom mutants. Table S4. Characterization of ProB mutants.

Figshare
Tianjin University of Science and Technology (CN), Chinese Academy of Sciences (CN), Neijiang Normal University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 58%
Amino Acid Enzymes and Metabolism
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