Targeting BCL-2 through Deep Learning-Based Drug Repurposing: A Multimodal Approach Combining Diffusion-Based Generative Modeling, Neural Relational Inference, and In Vitro Validation
- DOI
- 10.1021/acs.jcim.6c01299
- Published
- 2026-08-14
- Container
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.6c01299,
title = {Targeting BCL-2
through Deep Learning-Based
Drug Repurposing: A Multimodal Approach Combining Diffusion-Based
Generative Modeling, Neural Relational Inference, and In Vitro Validation},
author = {Ehsan Sayyah and Hüseyin Tunç and Asuman Çelebi and Timuçin Avşar and Serdar Durdağı},
year = {2026},
journal = {Journal of Chemical Information
and Modeling},
doi = {10.1021/acs.jcim.6c01299},
url = {https://doi.org/10.1021/acs.jcim.6c01299}
}RIS
TY - JOUR TI - Targeting BCL-2 through Deep Learning-Based Drug Repurposing: A Multimodal Approach Combining Diffusion-Based Generative Modeling, Neural Relational Inference, and In Vitro Validation AU - Ehsan Sayyah AU - Hüseyin Tunç AU - Asuman Çelebi AU - Timuçin Avşar AU - Serdar Durdağı PY - 2026 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.6c01299 UR - https://doi.org/10.1021/acs.jcim.6c01299 ER -
APA
Sayyah, E., Tunç, H., Çelebi, A., Avşar, T., & Durdağı, S. (2026). Targeting BCL-2 through Deep Learning-Based Drug Repurposing: A Multimodal Approach Combining Diffusion-Based Generative Modeling, Neural Relational Inference, and In Vitro Validation. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c01299
Source records
- crossref · retrieved 2026-09-27T12:23:26.935Z