From in silico prediction to experimental validation: Identification of drugs and novel synergistic combinations that inhibit growth of inflammatory breast cancer cells.
- DOI
- 10.1371/journal.pone.0339543
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0339543,
title = {From in silico prediction to experimental validation: Identification of drugs and novel synergistic combinations that inhibit growth of inflammatory breast cancer cells.},
author = {Salim EA and Ji X and Tarpley M and Dixon MS and Zheng W and Scott JE and Williams KP},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0339543},
url = {https://doi.org/10.1371/journal.pone.0339543}
}RIS
TY - JOUR TI - From in silico prediction to experimental validation: Identification of drugs and novel synergistic combinations that inhibit growth of inflammatory breast cancer cells. AU - Salim EA AU - Ji X AU - Tarpley M AU - Dixon MS AU - Zheng W AU - Scott JE AU - Williams KP PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0339543 UR - https://doi.org/10.1371/journal.pone.0339543 ER -
APA
EA, S., X, J., M, T., MS, D., W, Z., JE, S., & KP, W. (2026). From in silico prediction to experimental validation: Identification of drugs and novel synergistic combinations that inhibit growth of inflammatory breast cancer cells.. PloS one. https://doi.org/10.1371/journal.pone.0339543
Source records
- pubmed · retrieved 2026-09-25T21:37:06.022Z