Data on Enzyme Activity Retention in glucose oxidase, lipase, and horseradish peroxidase

Webb, Michael; Patel, Roshan; Gormley, Adam; Tamasi, Matt; Borca, Carlos; Kosuri, Shashank
Issue date: 17 May 2022
Cite as:
Webb, Michael, Patel, Roshan, Gormley, Adam, Tamasi, Matt, Borca, Carlos, & Kosuri, Shashank. (2022). Data on Enzyme Activity Retention in glucose oxidase, lipase, and horseradish peroxidase [Data set]. Princeton University. https://doi.org/10.34770/h938-nn26
@electronic{webb_michael_2022,
  author      = {Webb, Michael and
                Patel, Roshan and
                Gormley, Adam and
                Tamasi, Matt and
                Borca, Carlos and
                Kosuri, Shashank},
  title       = {{Data on Enzyme Activity Retention in glu
                cose oxidase, lipase, and horseradish pe
                roxidase}},
  publisher   = {{Princeton University}},
  year        = 2022,
  url         = {https://doi.org/10.34770/h938-nn26}
}
Abstract:

This distribution contains experimentally measured data for the extent of retained enzyme activity post thermal stressing for three distinct enzymes: glucose oxidase, lipase, and horseradish peroxidase. The data is used to form conclusions and develop machine learning models as reported in the publication "Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids" by Matthew Tamasi, Roshan Patel, Carlos Borca, Shashank Kosuri, Heloise Mugnier, Rahul Upadhya, N. Sanjeeva Murthy, Michael Webb*, and Adam Gormley. Details regarding the experimental protocols are reported in the aforementioned paper but are briefly discussed in the README.

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Description:

Additional information and code can be examined at https://github.com/webbtheosim/PPH_public

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Authors Webb, Michael
Patel, Roshan
Gormley, Adam
Tamasi, Matt
Borca, Carlos
Kosuri, Shashank
Contributors Mugnier, Heloise, Upadhya, Rahul, Murthy, N. Sanjeeva
Communities Chemical and Biological Engineering
Collection Tags Research Data Sets
Date Accessioned 17 May 2022
Issue date 17 May 2022
Date Created 24 January 2022
URI http://arks.princeton.edu/ark:/88435/dsp01s1784p89m
URI https://doi.org/10.34770/h938-nn26
Table of Contents README, gox.csv, hrp.csv, lip.csv
Referenced by https://doi.org/10.1002/adma.202201809
Referenced by https://doi.org/10.1039/D1ME00160D
Language en_US
Publisher Princeton University
Relation - Is Referenced By https://doi.org/10.1002/adma.202201809
Relation - Is Referenced By https://doi.org/10.1039/D1ME00160D
Rights CC BY NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
Type Dataset
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