A deep-learning framework for multi-level peptide-protein interaction prediction.

Lei Y, Li S, Liu Z, Wan F, Tian T, Li S, Zhao D, Zeng J

DOI: 10.1038/s41467-021-25772-4
Published: 2021 Sep 15
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-021-25772-4,
  title = {A deep-learning framework for multi-level peptide-protein interaction prediction.},
  author = {Lei Y and Li S and Liu Z and Wan F and Tian T and Li S and Zhao D and Zeng J},
  year = {2021},
  journal = {Nature communications},
  doi = {10.1038/s41467-021-25772-4},
  url = {https://doi.org/10.1038/s41467-021-25772-4}
}

RIS

TY  - JOUR
TI  - A deep-learning framework for multi-level peptide-protein interaction prediction.
AU  - Lei Y
AU  - Li S
AU  - Liu Z
AU  - Wan F
AU  - Tian T
AU  - Li S
AU  - Zhao D
AU  - Zeng J
PY  - 2021
JO  - Nature communications
DO  - 10.1038/s41467-021-25772-4
UR  - https://doi.org/10.1038/s41467-021-25772-4
ER  -

APA

Y, L., S, L., Z, L., F, W., T, T., S, L., D, Z., & J, Z. (2021). A deep-learning framework for multi-level peptide-protein interaction prediction.. Nature communications. https://doi.org/10.1038/s41467-021-25772-4

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pubmed · retrieved 2026-09-26T05:47:24.304Z