Data for: 'EnzymeML-based modeling workflow: from raw data to kinetic parameters' (doi:10.18419/darus-3867)

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Part 2: Study Description
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Document Description

Citation

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

Study Description

Citation

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

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

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

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

Other Study-Related Materials

Label:

requirements.txt

Notes:

text/plain

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slac_kinetics.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

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ABTS_standard_25.0C.json

Notes:

application/json

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ABTS_standard_30.0C.json

Notes:

application/json

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ABTS_standard_35.5C.json

Notes:

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

Notes:

application/json

Other Study-Related Materials

Label:

SLAC_kinetic_assay_25.0C.omex

Notes:

application/octet-stream

Other Study-Related Materials

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SLAC_kinetic_assay_30.0C.omex

Notes:

application/octet-stream

Other Study-Related Materials

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SLAC_kinetic_assay_35.5C.omex

Notes:

application/octet-stream

Other Study-Related Materials

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SLAC_kinetic_assay_40.0C.omex

Notes:

application/octet-stream

Other Study-Related Materials

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SLAC_kinetic_assay_45.0C.omex

Notes:

application/octet-stream

Other Study-Related Materials

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2022-10-11 - SLAC pH 3.0 25 degrees C.txt

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text/plain

Other Study-Related Materials

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2022-10-11 - SLAC pH 3.0 30 degrees C.txt

Notes:

text/plain

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2022-10-11 - SLAC pH 3.0 35 degrees C.txt

Notes:

text/plain

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2022-10-11 - SLAC pH 3.0 40 degrees C.txt

Notes:

text/plain

Other Study-Related Materials

Label:

2022-10-11 - SLAC pH 3.0 45 degrees C.txt

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text/plain