On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach.

Lim S, Lee S, Piao Y, Choi M, Bang D, Gu J, Kim S

DOI: 10.1016/j.csbj.2022.07.049
Published: 2022
Container: Computational and structural biotechnology journal
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.csbj.2022.07.049,
  title = {On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach.},
  author = {Lim S and Lee S and Piao Y and Choi M and Bang D and Gu J and Kim S},
  year = {2022},
  journal = {Computational and structural biotechnology journal},
  doi = {10.1016/j.csbj.2022.07.049},
  url = {https://doi.org/10.1016/j.csbj.2022.07.049}
}

RIS

TY  - JOUR
TI  - On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach.
AU  - Lim S
AU  - Lee S
AU  - Piao Y
AU  - Choi M
AU  - Bang D
AU  - Gu J
AU  - Kim S
PY  - 2022
JO  - Computational and structural biotechnology journal
DO  - 10.1016/j.csbj.2022.07.049
UR  - https://doi.org/10.1016/j.csbj.2022.07.049
ER  -

APA

S, L., S, L., Y, P., M, C., D, B., J, G., & S, K. (2022). On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach.. Computational and structural biotechnology journal. https://doi.org/10.1016/j.csbj.2022.07.049

Source records

pubmed · retrieved 2026-09-27T12:46:37.403Z