Topological deep learning for drug-target interaction, virtual screening, and docking scoring: a practical, benchmark-driven review.

Suay-García B, Falcó A

DOI: 10.1093/bib/bbag370
Published: 2026 Jul 3
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag370,
  title = {Topological deep learning for drug-target interaction, virtual screening, and docking scoring: a practical, benchmark-driven review.},
  author = {Suay-García B and Falcó A},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag370},
  url = {https://doi.org/10.1093/bib/bbag370}
}

RIS

TY  - JOUR
TI  - Topological deep learning for drug-target interaction, virtual screening, and docking scoring: a practical, benchmark-driven review.
AU  - Suay-García B
AU  - Falcó A
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag370
UR  - https://doi.org/10.1093/bib/bbag370
ER  -

APA

B, S., & A, F. (2026). Topological deep learning for drug-target interaction, virtual screening, and docking scoring: a practical, benchmark-driven review.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag370

Source records

pubmed · retrieved 2026-09-26T03:39:58.026Z