Machine Learning and Molecular Modeling Reveal HDAC6 as a Key Target of Tanshinone IIA in Multiple Myeloma

Jian Gao, Jiawen Chu, Pengpeng Li

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DOI: 10.1021/acs.jpcb.6c03788
Published: 2026-08-25
Container: The Journal of Physical Chemistry B
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jpcb.6c03788,
  title = {Machine Learning
and Molecular Modeling Reveal HDAC6
as a Key Target of Tanshinone IIA in Multiple Myeloma},
  author = {Jian Gao and Jiawen Chu and Pengpeng Li},
  year = {2026},
  journal = {The Journal of Physical
Chemistry B},
  doi = {10.1021/acs.jpcb.6c03788},
  url = {https://doi.org/10.1021/acs.jpcb.6c03788}
}

RIS

TY  - JOUR
TI  - Machine Learning
and Molecular Modeling Reveal HDAC6
as a Key Target of Tanshinone IIA in Multiple Myeloma
AU  - Jian Gao
AU  - Jiawen Chu
AU  - Pengpeng Li
PY  - 2026
JO  - The Journal of Physical
Chemistry B
DO  - 10.1021/acs.jpcb.6c03788
UR  - https://doi.org/10.1021/acs.jpcb.6c03788
ER  -

APA

Gao, J., Chu, J., & Li, P. (2026). Machine Learning and Molecular Modeling Reveal HDAC6 as a Key Target of Tanshinone IIA in Multiple Myeloma. The Journal of Physical Chemistry B. https://doi.org/10.1021/acs.jpcb.6c03788

Source records

crossref · retrieved 2026-09-26T01:18:57.286Z