Towards polypotent natural products: The Derringer desirability approach and nonparametric ranking for multicriteria evaluation of essential oils
Abstract
Chemical complexity of natural products often results in their pharmacological polypotency. However, selecting a natural product with desirable activity profile is not a straightforward task, especially if optimization of one feature results in deterioration of other facets. Recently, in the field of multiobjective optimization, the sum of ranking differences (SRD) has emerged as a simple and statistically sound method for fusion of multiple criteria. However, the data pretreatment seems to strongly influence the ranking outcome, which may lead to ambiguous or even false interpretations. Therefore, in the present study, the data of 55 essential oils originated from different plant species and tested on multiple bacterial and fungal strains as well as 4 antioxidative assays were studied. Essential oils were ranked using the classical Deringer desirability approach, and results were compared with the SRD analysis of primary activity data as well as the previously row-wise standardized da...ta, normalized data, and the data scaled to fit the preferences. Ultimately, the most promising candidate (polypotent) essential oils, as well as the most resilient and most sensitive bacterial and fungal strains, and antioxidative assays were identified. Data transformation based on the Deringer desirability approach, compared with the data that have not been previously transformed or those that transformed using a row-wise standardization or normalization to the unit length vector, seemed to be the crucial step providing the sound and meaningful SRD ranking. The data of 55 essential oils tested against multiple bacterial and fungal strains and 4 antioxidative assays were studied. Oils were ranked, according to their polypotency, using the classical Derringer desirability approach, and results were compared with ranking by the sum of ranking differences (SRD). Eventually, the SRD performed on the data scaled to fit the preferences proved to be crucial step in finding the most polypotent samples, as well as the most resilient and sensitive bacterial and fungal strains.
Keywords:
essential oils / multiobjective optimization / natural products / polypotency / sum of ranking differencesSource:
Journal of Chemometrics, 2018, 32, 10Publisher:
- Wiley, Hoboken
Funding / projects:
- Structure-properties relationships of natural and synthetic molecules and their metal complexes (RS-172017)
DOI: 10.1002/cem.3050
ISSN: 0886-9383
WoS: 000447552300003
Scopus: 2-s2.0-85055034435
Collections
Institution/Community
Hemijski fakultet / Faculty of ChemistryTY - JOUR AU - Andrić, Filip PY - 2018 UR - https://cherry.chem.bg.ac.rs/handle/123456789/2234 AB - Chemical complexity of natural products often results in their pharmacological polypotency. However, selecting a natural product with desirable activity profile is not a straightforward task, especially if optimization of one feature results in deterioration of other facets. Recently, in the field of multiobjective optimization, the sum of ranking differences (SRD) has emerged as a simple and statistically sound method for fusion of multiple criteria. However, the data pretreatment seems to strongly influence the ranking outcome, which may lead to ambiguous or even false interpretations. Therefore, in the present study, the data of 55 essential oils originated from different plant species and tested on multiple bacterial and fungal strains as well as 4 antioxidative assays were studied. Essential oils were ranked using the classical Deringer desirability approach, and results were compared with the SRD analysis of primary activity data as well as the previously row-wise standardized data, normalized data, and the data scaled to fit the preferences. Ultimately, the most promising candidate (polypotent) essential oils, as well as the most resilient and most sensitive bacterial and fungal strains, and antioxidative assays were identified. Data transformation based on the Deringer desirability approach, compared with the data that have not been previously transformed or those that transformed using a row-wise standardization or normalization to the unit length vector, seemed to be the crucial step providing the sound and meaningful SRD ranking. The data of 55 essential oils tested against multiple bacterial and fungal strains and 4 antioxidative assays were studied. Oils were ranked, according to their polypotency, using the classical Derringer desirability approach, and results were compared with ranking by the sum of ranking differences (SRD). Eventually, the SRD performed on the data scaled to fit the preferences proved to be crucial step in finding the most polypotent samples, as well as the most resilient and sensitive bacterial and fungal strains. PB - Wiley, Hoboken T2 - Journal of Chemometrics T1 - Towards polypotent natural products: The Derringer desirability approach and nonparametric ranking for multicriteria evaluation of essential oils VL - 32 IS - 10 DO - 10.1002/cem.3050 ER -
@article{ author = "Andrić, Filip", year = "2018", abstract = "Chemical complexity of natural products often results in their pharmacological polypotency. However, selecting a natural product with desirable activity profile is not a straightforward task, especially if optimization of one feature results in deterioration of other facets. Recently, in the field of multiobjective optimization, the sum of ranking differences (SRD) has emerged as a simple and statistically sound method for fusion of multiple criteria. However, the data pretreatment seems to strongly influence the ranking outcome, which may lead to ambiguous or even false interpretations. Therefore, in the present study, the data of 55 essential oils originated from different plant species and tested on multiple bacterial and fungal strains as well as 4 antioxidative assays were studied. Essential oils were ranked using the classical Deringer desirability approach, and results were compared with the SRD analysis of primary activity data as well as the previously row-wise standardized data, normalized data, and the data scaled to fit the preferences. Ultimately, the most promising candidate (polypotent) essential oils, as well as the most resilient and most sensitive bacterial and fungal strains, and antioxidative assays were identified. Data transformation based on the Deringer desirability approach, compared with the data that have not been previously transformed or those that transformed using a row-wise standardization or normalization to the unit length vector, seemed to be the crucial step providing the sound and meaningful SRD ranking. The data of 55 essential oils tested against multiple bacterial and fungal strains and 4 antioxidative assays were studied. Oils were ranked, according to their polypotency, using the classical Derringer desirability approach, and results were compared with ranking by the sum of ranking differences (SRD). Eventually, the SRD performed on the data scaled to fit the preferences proved to be crucial step in finding the most polypotent samples, as well as the most resilient and sensitive bacterial and fungal strains.", publisher = "Wiley, Hoboken", journal = "Journal of Chemometrics", title = "Towards polypotent natural products: The Derringer desirability approach and nonparametric ranking for multicriteria evaluation of essential oils", volume = "32", number = "10", doi = "10.1002/cem.3050" }
Andrić, F.. (2018). Towards polypotent natural products: The Derringer desirability approach and nonparametric ranking for multicriteria evaluation of essential oils. in Journal of Chemometrics Wiley, Hoboken., 32(10). https://doi.org/10.1002/cem.3050
Andrić F. Towards polypotent natural products: The Derringer desirability approach and nonparametric ranking for multicriteria evaluation of essential oils. in Journal of Chemometrics. 2018;32(10). doi:10.1002/cem.3050 .
Andrić, Filip, "Towards polypotent natural products: The Derringer desirability approach and nonparametric ranking for multicriteria evaluation of essential oils" in Journal of Chemometrics, 32, no. 10 (2018), https://doi.org/10.1002/cem.3050 . .