title: Poisson parameters of antimicrobial activity: a quantitative structure-activity approach.
abstract: A contingency of observed antimicrobial activities measured for several compounds vs. a series of bacteria was analyzed. A factor analysis revealed the existence of a certain probability distribution function of the antimicrobial activity. A quantitative structure-activity relationship analysis for the overall antimicrobial ability was conducted using the population statistics associated with identified probability distribution function. The antimicrobial activity proved to follow the Poisson distribution if just one factor varies (such as chemical compound or bacteria). The Poisson parameter estimating antimicrobial effect, giving both mean and variance of the antimicrobial activity, was used to develop structure-activity models describing the effect of compounds on bacteria and fungi species. Two approaches were employed to obtain the models, and for every approach, a model was selected, further investigated and found to be statistically significant. The best predictive model for antimicrobial effect on bacteria and fungi species was identified using graphical representation of observed vs. calculated values as well as several predictive power parameters.
authors.affiliation: University of Agricultural Science and Veterinary Medicine Cluj-Napoca, 3-5 Mănăştur, Cluj-Napoca 400372, Romania.
authors.forename: Radu E
authors.identifier: 0000-0003-3073-1616
authors.initials: RE
authors.lastname: Sestraş
authors.affiliation: University of Agricultural Science and Veterinary Medicine Cluj-Napoca, 3-5 Mănăştur, Cluj-Napoca 400372, Romania.|Technical University of Cluj-Napoca, 28 Memorandumului, Cluj-Napoca 400114, Romania.
authors.forename: Lorentz
authors.identifier: 0000-0001-8524-743X
authors.initials: L
authors.lastname: Jäntschi
authors.affiliation: Department of Medical Informatics and Biostatistics, "Iuliu Haţieganu" University of Medicine and Pharmacy Cluj-Napoca, 6 Louis Pasteur, Cluj-Napoca 400349, Cluj, Romania.
authors.forename: Sorana D
authors.identifier: 0000-0002-2342-4311
authors.initials: SD
authors.lastname: Bolboacă
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology*; D000935:Antifungal Agents / Q000494:pharmacology*; D002176:Candida albicans / Q000187:drug effects; D006090:Gram-Negative Bacteria / Q000187:drug effects; D006094:Gram-Positive Bacteria / Q000187:drug effects; D008826:Microbial Sensitivity Tests; D016012:Poisson Distribution; D021281:Quantitative Structure-Activity Relationship
chemical_list: D000900:Anti-Bacterial Agents; D000935:Antifungal Agents