APA   Click to copy
Ferraz, M., Neto, J., Lins, R., & Teixeira, E. (2022). Artificial Neural Network to Predict Structure-based Protein-protein Free Energy of Binding from Rosetta-calculated Properties. ChemRxiv. https://doi.org/10.26434/chemrxiv-2022-zhd87 D O I: 10.26434/chemrxiv-2022-zhd87 [opens in a new tab]

Chicago/Turabian   Click to copy
Ferraz, Matheus, José Neto, Roberto Lins, and Erico Teixeira. “Artificial Neural Network to Predict Structure-Based Protein-Protein Free Energy of Binding from Rosetta-Calculated Properties.” ChemRxiv (2022).

MLA   Click to copy
Ferraz, Matheus, et al. “Artificial Neural Network to Predict Structure-Based Protein-Protein Free Energy of Binding from Rosetta-Calculated Properties.” ChemRxiv, 2022, doi:10.26434/chemrxiv-2022-zhd87 D O I: 10.26434/chemrxiv-2022-zhd87 [opens in a new tab].

@article{matheus2022a,
  title = {Artificial Neural Network to Predict Structure-based Protein-protein Free Energy of Binding from Rosetta-calculated Properties},
  year = {2022},
  journal = {ChemRxiv},
  doi = {10.26434/chemrxiv-2022-zhd87 D O I: 10.26434/chemrxiv-2022-zhd87 [opens in a new tab]},
  author = {Ferraz, Matheus and Neto, José and Lins, Roberto and Teixeira, Erico}
}