Draizen, E. J., Readey, J., Mura, C., & Bourne, P. E. (2024). Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinformatics, 25(1). https://doi.org/10.1186/s12859-023-05586-5

DRAIZEN, Eli J., READEY, John, MURA, Cameron und BOURNE, Philip E., 2024. Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinformatics. 1 Dezember 2024. Vol. 25, no. 1, . DOI 10.1186/s12859-023-05586-5.

Draizen, E. J., J. Readey, C. Mura, und P. E. Bourne. „Prop3 D: A Flexible, Python-Based Platform for Machine Learning With Protein Structural Properties and Biophysical Data“. BMC Bioinformatics, Bd. 25, Nr. 1, Dezember 2024, https://doi.org/10.1186/s12859-023-05586-5.

Draizen, Eli J./Readey, John/Mura, Cameron/Bourne, Philip E.: Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data, BMC Bioinformatics 2024,

Draizen, E.J., Readey, J., Mura, C. und Bourne, P.E. (2024), „Prop3 D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data“, BMC Bioinformatics, Vol. 25 No. 1, verfügbar unter:https://doi.org/10.1186/s12859-023-05586-5.