Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space.
- DOI
- 10.1038/s41598-021-87134-w
- Published
- 2021 Apr 7
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-021-87134-w,
title = {Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space.},
author = {de Oliveira ECL and Santana K and Josino L and Lima E Lima AH and de Souza de Sales Júnior C},
year = {2021},
journal = {Scientific reports},
doi = {10.1038/s41598-021-87134-w},
url = {https://doi.org/10.1038/s41598-021-87134-w}
}RIS
TY - JOUR TI - Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space. AU - de Oliveira ECL AU - Santana K AU - Josino L AU - Lima E Lima AH AU - de Souza de Sales Júnior C PY - 2021 JO - Scientific reports DO - 10.1038/s41598-021-87134-w UR - https://doi.org/10.1038/s41598-021-87134-w ER -
APA
ECL, D. O., K, S., L, J., AH, L. E. L., & C, D. S. D. S. J. (2021). Predicting cell-penetrating peptides using machine learning algorithms and navigating in their chemical space.. Scientific reports. https://doi.org/10.1038/s41598-021-87134-w
Source records
- pubmed · retrieved 2026-09-25T06:30:32.828Z