ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding

Junjie Wang, NaiFeng Wen, Chunyu Wang, Lingling Zhao, Liang Cheng

Open source

DOI: 10.1186/s13321-022-00591-x
Published: 2022-03-15
Container: Journal of Cheminformatics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13321-022-00591-x,
  title = {ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding},
  author = {Junjie Wang and NaiFeng Wen and Chunyu Wang and Lingling Zhao and Liang Cheng},
  year = {2022},
  journal = {Journal of Cheminformatics},
  doi = {10.1186/s13321-022-00591-x},
  url = {https://doi.org/10.1186/s13321-022-00591-x}
}

RIS

TY  - JOUR
TI  - ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding
AU  - Junjie Wang
AU  - NaiFeng Wen
AU  - Chunyu Wang
AU  - Lingling Zhao
AU  - Liang Cheng
PY  - 2022
JO  - Journal of Cheminformatics
DO  - 10.1186/s13321-022-00591-x
UR  - https://doi.org/10.1186/s13321-022-00591-x
ER  -

APA

Wang, J., Wen, N., Wang, C., Zhao, L., & Cheng, L. (2022). ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding. Journal of Cheminformatics. https://doi.org/10.1186/s13321-022-00591-x

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crossref · retrieved 2026-09-26T01:09:08.875Z