Predicting molecular docking of per- and polyfluoroalkyl substances to blood protein using generative artificial intelligence algorithm DiffDock.

B Fortela DL, Mikolajczyk AP, Carnes MR, Sharp W, Revellame E, Hernandez R, Holmes WE, Zappi ME.

Open source

DOI: 10.2144/btn-2023-0070
Published: 2023-11-10
Container: Biotechniques
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.2144/btn-2023-0070,
  title = {Predicting molecular docking of per- and polyfluoroalkyl substances to blood protein using generative artificial intelligence algorithm DiffDock.},
  author = {B Fortela DL and  Mikolajczyk AP and  Carnes MR and  Sharp W and  Revellame E and  Hernandez R and  Holmes WE and  Zappi ME.},
  year = {2024},
  journal = {Biotechniques},
  doi = {10.2144/btn-2023-0070},
  url = {https://doi.org/10.2144/btn-2023-0070}
}

RIS

TY  - JOUR
TI  - Predicting molecular docking of per- and polyfluoroalkyl substances to blood protein using generative artificial intelligence algorithm DiffDock.
AU  - B Fortela DL
AU  -  Mikolajczyk AP
AU  -  Carnes MR
AU  -  Sharp W
AU  -  Revellame E
AU  -  Hernandez R
AU  -  Holmes WE
AU  -  Zappi ME.
PY  - 2024
JO  - Biotechniques
DO  - 10.2144/btn-2023-0070
UR  - https://doi.org/10.2144/btn-2023-0070
ER  -

APA

DL, B. F., AP, M., MR, C., W, S., E, R., R, H., WE, H., & ME., Z. (2024). Predicting molecular docking of per- and polyfluoroalkyl substances to blood protein using generative artificial intelligence algorithm DiffDock.. Biotechniques. https://doi.org/10.2144/btn-2023-0070

Source records

europe-pmc · retrieved 2026-09-27T07:46:26.221Z
doaj · retrieved 2026-09-27T07:46:26.219Z