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Editorial

The latest guidance on the simultaneous design of virtually active and non-hemolytic peptides

ORCID Icon & ORCID Icon
Pages 1067-1069 | Received 22 May 2022, Accepted 22 Sep 2022, Published online: 27 Sep 2022

Figures & data

Figure 1. Development and application of a PTML model for peptide design. The peptide sequence and the amino acids described as building blocks are all represented for illustrative purpose only. The terms IC50, CC50 and HC50 mean the inhibitory concentration at 50%, the cytotoxic concentration at 50%, and the hemolytic concentration at 50%, respectively. The mathematical expression derived from the Box-Jenkins approach are calculated by employing Microsoft Excel. The training set usually contains the 75% of the data while the remaining 25% belongs to the test set; such a proportion can vary depending on factors that include (but are not limited to) the complexity and amount of data, as well as the type of the machine learning algorithm. The abbreviation ‘INTP’ refers to the physicochemical and structural interpretation of the peptide (sequence-based) descriptors in the PTML model.

Figure 1. Development and application of a PTML model for peptide design. The peptide sequence and the amino acids described as building blocks are all represented for illustrative purpose only. The terms IC50, CC50 and HC50 mean the inhibitory concentration at 50%, the cytotoxic concentration at 50%, and the hemolytic concentration at 50%, respectively. The mathematical expression derived from the Box-Jenkins approach are calculated by employing Microsoft Excel. The training set usually contains the 75% of the data while the remaining 25% belongs to the test set; such a proportion can vary depending on factors that include (but are not limited to) the complexity and amount of data, as well as the type of the machine learning algorithm. The abbreviation ‘INTP’ refers to the physicochemical and structural interpretation of the peptide (sequence-based) descriptors in the PTML model.