Efficient and valid large molecule generation via self-supervised generative models
- DOI
- 10.1038/s44386-026-00052-7
- Published
- 2026-07-03
- Container
- npj Drug Discovery
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s44386-026-00052-7,
title = {Efficient and valid large molecule generation via self-supervised generative models},
author = {Doyoung Kwak and Md Raiyan Chowdhury and Byung-Jun Yoon and Xiaoning Qian},
year = {2026},
journal = {npj Drug Discovery},
doi = {10.1038/s44386-026-00052-7},
url = {https://doi.org/10.1038/s44386-026-00052-7}
}RIS
TY - JOUR TI - Efficient and valid large molecule generation via self-supervised generative models AU - Doyoung Kwak AU - Md Raiyan Chowdhury AU - Byung-Jun Yoon AU - Xiaoning Qian PY - 2026 JO - npj Drug Discovery DO - 10.1038/s44386-026-00052-7 UR - https://doi.org/10.1038/s44386-026-00052-7 ER -
APA
Kwak, D., Chowdhury, M. R., Yoon, B., & Qian, X. (2026). Efficient and valid large molecule generation via self-supervised generative models. npj Drug Discovery. https://doi.org/10.1038/s44386-026-00052-7
Source records
- crossref · retrieved 2026-09-26T01:05:33.027Z