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Part 1: Document Description
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Citation |
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Title: |
Data for: 'EnzymeML-based modeling workflow: from raw data to kinetic parameters' |
Identification Number: |
doi:10.18419/darus-3867 |
Distributor: |
DaRUS |
Date of Distribution: |
2024-01-09 |
Version: |
1 |
Bibliographic Citation: |
Häussler, Max, 2024, "Data for: 'EnzymeML-based modeling workflow: from raw data to kinetic parameters'", https://doi.org/10.18419/DARUS-3867, DaRUS, V1 |
Citation |
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Title: |
Data for: 'EnzymeML-based modeling workflow: from raw data to kinetic parameters' |
Identification Number: |
doi:10.18419/darus-3867 |
Authoring Entity: |
Häussler, Max (University of Stuttgart) |
Grant Number: |
EXC 2075 - 390740016 |
Grant Number: |
358283783 - SFB 1333 |
Grant Number: |
138015 |
Distributor: |
DaRUS |
Access Authority: |
Pleiss, Jürgen |
Holdings Information: |
https://doi.org/10.18419/DARUS-3867 |
Study Scope |
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Keywords: |
Chemistry, Medicine, Health and Life Sciences, Laccase, Biocatalysis, Kinetic Modeling |
Topic Classification: |
Chemistry |
Abstract: |
<p>Kinetic parameter estimates for small laccase (SLAC) catalyzed oxidation of ABTS, investigated across the temperature range between 25 °C and 45°C. This dataset contains the following files:</p> <ul> <li>Unprocessed absorption data from the respective enzyme assays (.txt)</li> <li>Derived calibration data for the respective calibration measurements (.json)</li> <li>EnzymeML Documents (.omex) with <ul> <li>Experimental conditions</li> <li>Measurement data</li> <li>Estimated parameters and applied models</li> </ul> <li>Analysis notebook (.ipynb)</li> <li>Python requirements.txt for all dependencies</li> </ul> |
Date of Collection: |
2022-10-11-2022-10-11 |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Häussler M, Prins A, Le Roes-Hill M, Wittig U, Pleiss, J. (2024) EnzymeML-based modeling workflow: from raw data to kinetic parameters. ChemCatChem |
Bibliographic Citation: |
Häussler M, Prins A, Le Roes-Hill M, Wittig U, Pleiss, J. (2024) EnzymeML-based modeling workflow: from raw data to kinetic parameters. ChemCatChem |
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requirements.txt |
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text/plain |
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slac_kinetics.ipynb |
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application/x-ipynb+json |
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ABTS_standard_25.0C.json |
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application/json |
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ABTS_standard_30.0C.json |
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application/json |
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ABTS_standard_35.5C.json |
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application/json |
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ABTS_standard_40.0C.json |
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application/json |
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ABTS_standard_45.0C.json |
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application/json |
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SLAC_kinetic_assay_25.0C.omex |
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application/octet-stream |
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SLAC_kinetic_assay_30.0C.omex |
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application/octet-stream |
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SLAC_kinetic_assay_35.5C.omex |
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application/octet-stream |
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SLAC_kinetic_assay_40.0C.omex |
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application/octet-stream |
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SLAC_kinetic_assay_45.0C.omex |
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application/octet-stream |
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2022-10-11 - SLAC pH 3.0 25 degrees C.txt |
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text/plain |
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2022-10-11 - SLAC pH 3.0 30 degrees C.txt |
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text/plain |
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2022-10-11 - SLAC pH 3.0 35 degrees C.txt |
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text/plain |
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2022-10-11 - SLAC pH 3.0 40 degrees C.txt |
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text/plain |
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2022-10-11 - SLAC pH 3.0 45 degrees C.txt |
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text/plain |