A comprehensive dataset of 32 million pentapeptide structures for high-throughput virtual screening

Josep-Ramon Codina, Emre Dikici, Sapna K. Deo, Sylvia Daunert

Open source

DOI: 10.1038/s41597-026-07838-4
Published: 2026-07-07
Container: Scientific Data
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-026-07838-4,
  title = {A comprehensive dataset of 32 million pentapeptide structures for high-throughput virtual screening},
  author = {Josep-Ramon Codina and Emre Dikici and Sapna K. Deo and Sylvia Daunert},
  year = {2026},
  journal = {Scientific Data},
  doi = {10.1038/s41597-026-07838-4},
  url = {https://doi.org/10.1038/s41597-026-07838-4}
}

RIS

TY  - JOUR
TI  - A comprehensive dataset of 32 million pentapeptide structures for high-throughput virtual screening
AU  - Josep-Ramon Codina
AU  - Emre Dikici
AU  - Sapna K. Deo
AU  - Sylvia Daunert
PY  - 2026
JO  - Scientific Data
DO  - 10.1038/s41597-026-07838-4
UR  - https://doi.org/10.1038/s41597-026-07838-4
ER  -

APA

Codina, J., Dikici, E., Deo, S. K., & Daunert, S. (2026). A comprehensive dataset of 32 million pentapeptide structures for high-throughput virtual screening. Scientific Data. https://doi.org/10.1038/s41597-026-07838-4

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crossref · retrieved 2026-09-25T13:55:19.547Z