Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning.

López-Cortés XA, Lara G, Fernández N, Manríquez-Troncoso JM, Venthur H.

Open source

DOI
10.3390/ijms26052302
Published
2025-03-05
Container
Int J Mol Sci
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/ijms26052302,
  title = {Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning.},
  author = {López-Cortés XA and  Lara G and  Fernández N and  Manríquez-Troncoso JM and  Venthur H.},
  year = {2025},
  journal = {Int J Mol Sci},
  doi = {10.3390/ijms26052302},
  url = {https://doi.org/10.3390/ijms26052302}
}

RIS

TY  - JOUR
TI  - Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning.
AU  - López-Cortés XA
AU  -  Lara G
AU  -  Fernández N
AU  -  Manríquez-Troncoso JM
AU  -  Venthur H.
PY  - 2025
JO  - Int J Mol Sci
DO  - 10.3390/ijms26052302
UR  - https://doi.org/10.3390/ijms26052302
ER  - 

APA

XA, L., G, L., N, F., JM, M., & H., V. (2025). Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning.. Int J Mol Sci. https://doi.org/10.3390/ijms26052302

Source records