LM2KM: feature extraction from pretrained protein and molecular language models combined with quantum mechanics (QM) features for K (M) predictions.

Zhai J, Cai L, Niu T, Xie L, Wang J

DOI: 10.1039/d6dd00139d
Published: 2026 Oct 20
Container: Digital discovery
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d6dd00139d,
  title = {LM2KM: feature extraction from pretrained protein and molecular language models combined with quantum mechanics (QM) features for K (M) predictions.},
  author = {Zhai J and Cai L and Niu T and Xie L and Wang J},
  year = {2026},
  journal = {Digital discovery},
  doi = {10.1039/d6dd00139d},
  url = {https://doi.org/10.1039/d6dd00139d}
}

RIS

TY  - JOUR
TI  - LM2KM: feature extraction from pretrained protein and molecular language models combined with quantum mechanics (QM) features for K (M) predictions.
AU  - Zhai J
AU  - Cai L
AU  - Niu T
AU  - Xie L
AU  - Wang J
PY  - 2026
JO  - Digital discovery
DO  - 10.1039/d6dd00139d
UR  - https://doi.org/10.1039/d6dd00139d
ER  -

APA

J, Z., L, C., T, N., L, X., & J, W. (2026). LM2KM: feature extraction from pretrained protein and molecular language models combined with quantum mechanics (QM) features for K (M) predictions.. Digital discovery. https://doi.org/10.1039/d6dd00139d

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pubmed · retrieved 2026-11-10T07:20:13.513Z