A graph retrieval-augmented generation pipeline for systematic drug target discovery: validation and application to ocular neovascularization
- DOI
- 10.1093/bib/bbag343
- Published
- 2026-07
- Container
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bib/bbag343,
title = {A graph retrieval-augmented generation pipeline for systematic drug target discovery: validation and application to ocular neovascularization},
author = {Yongseok Mun and Dae Joong Ma and Ha Kyoung Kim and Kwangsic Joo and Sang Jun Park and Se Joon Woo and Kyu Hyung Park},
year = {2026},
journal = {Briefings in Bioinformatics},
doi = {10.1093/bib/bbag343},
url = {https://doi.org/10.1093/bib/bbag343}
}RIS
TY - JOUR TI - A graph retrieval-augmented generation pipeline for systematic drug target discovery: validation and application to ocular neovascularization AU - Yongseok Mun AU - Dae Joong Ma AU - Ha Kyoung Kim AU - Kwangsic Joo AU - Sang Jun Park AU - Se Joon Woo AU - Kyu Hyung Park PY - 2026 JO - Briefings in Bioinformatics DO - 10.1093/bib/bbag343 UR - https://doi.org/10.1093/bib/bbag343 ER -
APA
Mun, Y., Ma, D. J., Kim, H. K., Joo, K., Park, S. J., Woo, S. J., & Park, K. H. (2026). A graph retrieval-augmented generation pipeline for systematic drug target discovery: validation and application to ocular neovascularization. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag343
Source records
- crossref · retrieved 2026-09-25T13:01:47.190Z