Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model.

De Silva R, Ge W, Bapp C, Mustafa AZ, Chapman R, Fan Y, Sisson SA, Stenzel MH

DOI: 10.1021/acspolymersau.5c00177
Published: 2026 Apr 8
Container: ACS polymers Au
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acspolymersau.5c00177,
  title = {Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model.},
  author = {De Silva R and Ge W and Bapp C and Mustafa AZ and Chapman R and Fan Y and Sisson SA and Stenzel MH},
  year = {2026},
  journal = {ACS polymers Au},
  doi = {10.1021/acspolymersau.5c00177},
  url = {https://doi.org/10.1021/acspolymersau.5c00177}
}

RIS

TY  - JOUR
TI  - Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model.
AU  - De Silva R
AU  - Ge W
AU  - Bapp C
AU  - Mustafa AZ
AU  - Chapman R
AU  - Fan Y
AU  - Sisson SA
AU  - Stenzel MH
PY  - 2026
JO  - ACS polymers Au
DO  - 10.1021/acspolymersau.5c00177
UR  - https://doi.org/10.1021/acspolymersau.5c00177
ER  -

APA

R, D. S., W, G., C, B., AZ, M., R, C., Y, F., SA, S., & MH, S. (2026). Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model.. ACS polymers Au. https://doi.org/10.1021/acspolymersau.5c00177

Source records

pubmed · retrieved 2026-09-26T07:45:39.682Z