RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli.

Tankhilevich E, Martinez Cuesta S, Barrett I, Berg C, Holmberg Schiavone L, Leach AR

DOI: 10.1093/bioinformatics/btag003
Published: 2026 Jan 2
Container: Bioinformatics (Oxford, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag003,
  title = {RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli.},
  author = {Tankhilevich E and Martinez Cuesta S and Barrett I and Berg C and Holmberg Schiavone L and Leach AR},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag003},
  url = {https://doi.org/10.1093/bioinformatics/btag003}
}

RIS

TY  - JOUR
TI  - RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli.
AU  - Tankhilevich E
AU  - Martinez Cuesta S
AU  - Barrett I
AU  - Berg C
AU  - Holmberg Schiavone L
AU  - Leach AR
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag003
UR  - https://doi.org/10.1093/bioinformatics/btag003
ER  -

APA

E, T., S, M. C., I, B., C, B., L, H. S., & AR, L. (2026). RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag003

Source records

pubmed · retrieved 2026-09-25T14:31:30.142Z