BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach.

Kalemati M, Zamani Emani M, Koohi S

DOI: 10.1371/journal.pcbi.1011036
Published: 2023 Mar
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1011036,
  title = {BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach.},
  author = {Kalemati M and Zamani Emani M and Koohi S},
  year = {2023},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1011036},
  url = {https://doi.org/10.1371/journal.pcbi.1011036}
}

RIS

TY  - JOUR
TI  - BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach.
AU  - Kalemati M
AU  - Zamani Emani M
AU  - Koohi S
PY  - 2023
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1011036
UR  - https://doi.org/10.1371/journal.pcbi.1011036
ER  -

APA

M, K., M, Z. E., & S, K. (2023). BiComp-DTA: Drug-target binding affinity prediction through complementary biological-related and compression-based featurization approach.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1011036

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pubmed · retrieved 2026-09-26T15:50:05.268Z