Computational identification of multi-target natural compounds from Sesbania grandiflora as potential therapeutic agents against Klebsiella pneumoniae.
- DOI
- 10.1038/s41598-026-37613-9
- Published
- 2026 Feb 8
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-37613-9,
title = {Computational identification of multi-target natural compounds from Sesbania grandiflora as potential therapeutic agents against Klebsiella pneumoniae.},
author = {Sajal H and Mohan A and Ravi V and Anjali K and Raju R and Rehman N and Nadh AG},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-37613-9},
url = {https://doi.org/10.1038/s41598-026-37613-9}
}RIS
TY - JOUR TI - Computational identification of multi-target natural compounds from Sesbania grandiflora as potential therapeutic agents against Klebsiella pneumoniae. AU - Sajal H AU - Mohan A AU - Ravi V AU - Anjali K AU - Raju R AU - Rehman N AU - Nadh AG PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-37613-9 UR - https://doi.org/10.1038/s41598-026-37613-9 ER -
APA
H, S., A, M., V, R., K, A., R, R., N, R., & AG, N. (2026). Computational identification of multi-target natural compounds from Sesbania grandiflora as potential therapeutic agents against Klebsiella pneumoniae.. Scientific reports. https://doi.org/10.1038/s41598-026-37613-9
Source records
- pubmed · retrieved 2026-09-26T16:15:11.499Z
- europe-pmc · retrieved 2026-09-26T16:15:11.515Z
- doaj · retrieved 2026-09-26T16:15:11.508Z