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.

Show More
Description:

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

Show More
# Filename Description Filesize
1 README.txt 3.33 KB
2 gox.csv 31.4 KB
3 hrp.csv 31.4 KB
4 lip.csv 31.7 KB