Artificial intelligence-based structural modeling of PSTOL1 receptor kinases in rice and sorghum.

Viana MJA, Martins NF, Cintra LC, Barros BA, Minardi RCM, Magalhaes JV

DOI: 10.3389/fpls.2026.1850847
Published: 2026
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1850847,
  title = {Artificial intelligence-based structural modeling of PSTOL1 receptor kinases in rice and sorghum.},
  author = {Viana MJA and Martins NF and Cintra LC and Barros BA and Minardi RCM and Magalhaes JV},
  year = {2026},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2026.1850847},
  url = {https://doi.org/10.3389/fpls.2026.1850847}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-based structural modeling of PSTOL1 receptor kinases in rice and sorghum.
AU  - Viana MJA
AU  - Martins NF
AU  - Cintra LC
AU  - Barros BA
AU  - Minardi RCM
AU  - Magalhaes JV
PY  - 2026
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2026.1850847
UR  - https://doi.org/10.3389/fpls.2026.1850847
ER  -

APA

MJA, V., NF, M., LC, C., BA, B., RCM, M., & JV, M. (2026). Artificial intelligence-based structural modeling of PSTOL1 receptor kinases in rice and sorghum.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1850847

Source records

pubmed · retrieved 2026-09-25T05:28:02.143Z