A multi-omics computational framework identifies cell-type-specific therapeutic targets and active compounds of Tripterygium wilfordii Hook.f. against diabetic kidney disease.
- DOI
- 10.1016/j.compbiolchem.2026.109511
- Published
- 2026 Oct 23
- Container
- Computational biology and chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109511,
title = {A multi-omics computational framework identifies cell-type-specific therapeutic targets and active compounds of Tripterygium wilfordii Hook.f. against diabetic kidney disease.},
author = {Wu R and Wu R and Gandotra S and Lv L and Lee B and He Y},
year = {2026},
journal = {Computational biology and chemistry},
doi = {10.1016/j.compbiolchem.2026.109511},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109511}
}RIS
TY - JOUR TI - A multi-omics computational framework identifies cell-type-specific therapeutic targets and active compounds of Tripterygium wilfordii Hook.f. against diabetic kidney disease. AU - Wu R AU - Wu R AU - Gandotra S AU - Lv L AU - Lee B AU - He Y PY - 2026 JO - Computational biology and chemistry DO - 10.1016/j.compbiolchem.2026.109511 UR - https://doi.org/10.1016/j.compbiolchem.2026.109511 ER -
APA
R, W., R, W., S, G., L, L., B, L., & Y, H. (2026). A multi-omics computational framework identifies cell-type-specific therapeutic targets and active compounds of Tripterygium wilfordii Hook.f. against diabetic kidney disease.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109511
Source records
- pubmed · retrieved 2026-11-10T12:07:08.847Z