Software-aided workflow for predicting protease-specific cleavage sites using physicochemical properties of the natural and unnatural amino acids in peptide-based drug discovery.

MLA

Radchenko, Tatiana, et al. “Software-Aided Workflow for Predicting Protease-Specific Cleavage Sites Using Physicochemical Properties of the Natural and Unnatural Amino Acids in Peptide-Based Drug Discovery.” PLoS ONE, vol. 14, no. 01, Jan. 2019, pp. 1–20. EBSCOhost, https://doi.org/10.1371/journal.pone.0199270.

APA

Radchenko, T., Fontaine, F., Morettoni, L., & Zamora, I. (2019). Software-aided workflow for predicting protease-specific cleavage sites using physicochemical properties of the natural and unnatural amino acids in peptide-based drug discovery. PLoS ONE, 14(01), 1–20. https://doi.org/10.1371/journal.pone.0199270

Chicago

Radchenko, Tatiana, Fabien Fontaine, Luca Morettoni, and Ismael Zamora. 2019. “Software-Aided Workflow for Predicting Protease-Specific Cleavage Sites Using Physicochemical Properties of the Natural and Unnatural Amino Acids in Peptide-Based Drug Discovery.” PLoS ONE 14 (01): 1–20. doi:10.1371/journal.pone.0199270.