Drugging the Undruggable in Oncology: Structural Computation, Machine Learning, and Generative AI for Historically Intractable Targets.
- DOI
- 10.3390/ph19101578
- Published
- 2026 Oct 5
- Container
- Pharmaceuticals (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ph19101578,
title = {Drugging the Undruggable in Oncology: Structural Computation, Machine Learning, and Generative AI for Historically Intractable Targets.},
author = {Stańczak M and Niazi S},
year = {2026},
journal = {Pharmaceuticals (Basel, Switzerland)},
doi = {10.3390/ph19101578},
url = {https://doi.org/10.3390/ph19101578}
}RIS
TY - JOUR TI - Drugging the Undruggable in Oncology: Structural Computation, Machine Learning, and Generative AI for Historically Intractable Targets. AU - Stańczak M AU - Niazi S PY - 2026 JO - Pharmaceuticals (Basel, Switzerland) DO - 10.3390/ph19101578 UR - https://doi.org/10.3390/ph19101578 ER -
APA
M, S., & S, N. (2026). Drugging the Undruggable in Oncology: Structural Computation, Machine Learning, and Generative AI for Historically Intractable Targets.. Pharmaceuticals (Basel, Switzerland). https://doi.org/10.3390/ph19101578