Computational mapping of resistance-relevant signals in proteins using deep and classical feature spaces

Rahul Kaushik, Suyong Re

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DOI: 10.3389/fmicb.2026.1899081
Published: 2026-08-19
Container: Frontiers in Microbiology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2026.1899081,
  title = {Computational mapping of resistance-relevant signals in proteins using deep and classical feature spaces},
  author = {Rahul Kaushik and Suyong Re},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2026.1899081},
  url = {https://doi.org/10.3389/fmicb.2026.1899081}
}

RIS

TY  - JOUR
TI  - Computational mapping of resistance-relevant signals in proteins using deep and classical feature spaces
AU  - Rahul Kaushik
AU  - Suyong Re
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2026.1899081
UR  - https://doi.org/10.3389/fmicb.2026.1899081
ER  -

APA

Kaushik, R., & Re, S. (2026). Computational mapping of resistance-relevant signals in proteins using deep and classical feature spaces. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2026.1899081

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crossref · retrieved 2026-09-26T04:13:15.877Z