A revised model of fungicide translaminar activity.

Translaminar redistribution is valuable for fungicide activity but difficult to measure and predict. The translaminar activity of 38 fungicides active against cucumber powdery mildew was measured experimentally and used to develop a QSAR (Quantitative structure-activity relationship) model of translaminar movement from calculated parameters. Over 300 physiochemical parameters generated from energy-minimized 3D structures were considered and one-parameter, two-parameter, and five-parameter models were developed. The one-parameter lipophilicity model explained 39% of variability in translaminar activity in the full dataset but none of the variability in the small succinate dehydrogenase inhibitor (SDHI) set. Adding a polar surface area parameter to the lipophilicity parameter improved predictability to 52% and explained over 70% of the variability in the SDHI class. The expanded model with five physiochemical parameters explained more than 80% of the variability in overall translaminar redistribution. The three additional parameters were correlated with molecular size and reactivity. The models were validated with a Leave-One-Out method that showed excellent robustness (r2adj = 0.83, q2 = 0.79, p < .0001) for the five-parameter model. Because the models require only calculated parameters from a 3D chemical structure, they could enable the design or selection of compounds likely to be translaminar.

Physicochemical property guidelines for modern agrochemicals.

The relentless need for the discovery and development of new agrochemicals continues as a result of driving forces such as loss of existing products through the development of resistance, the necessity for products with more favorable environmental and toxicological profiles, shifting pest spectra, and the changing agricultural needs and practices of the farming community. These new challenges underscore the demand for novel, high-quality starting points to accelerate the discovery of new agrochemicals that address market challenges. This article discusses the efforts to identify the optimum ranges of physicochemical properties of agrochemicals through analysis of modern commercial products. Specifically, we reviewed literature studies examining physicochemical property effects and analyzed the properties typical of successful fungicides, herbicides, and insecticides (chewing and sap-feeding pests). From the analysis, a new set of physicochemical property guidelines for each discipline, as well as building block class, are proposed. These new guidelines should significantly aid in the discovery of next-generation agrochemicals. © 2018 Society of Chemical Industry.

Can agricultural fungicides accelerate the discovery of human antifungal drugs?

Twelve drugs from four chemical classes are currently available for treatment of systemic fungal infections in humans. By contrast, more than 100 structurally distinct compounds from over 30 chemical classes have been developed as agricultural fungicides, and these fungicides target many modes of action not represented among human antifungal drugs. In this article we introduce the diverse aspects of agricultural fungicides and compare them with human antifungal drugs. We propose that the information gained from the development of agricultural fungicides can be applied to the discovery of new mechanisms of action and new antifungal agents for the management of human fungal infections.

Effects of physical properties on the translaminar activity of fungicides.

Translaminar redistribution is a key component of activity for many fungicides. The influence of physical properties (including water solubility, lipophilicity, melting point, and molar volume) on translaminar activity, however, is not well understood. Cucumber powdery mildew was used as a biological indicator to examine the influence of physical properties on translaminar activity of 61 fungicides in simple, uniform formulations, including three modes-of-action and a range of physical properties. Results were modeled using multiple regression and ordinal logistic fit. We confirmed that translaminar activity is a frequent attribute of fungicides and that lipophilicity and water solubility are important predictors of translaminar activity. The hypothesis that melting point drives translaminar movement and translaminar activity was not supported. Translaminar movement (driven only by physical properties) could be differentiated with the models from fungitoxicity-influenced translaminar control. Translaminar activity is a complex attribute and differences in inherent activity as well as physical properties and formulations must be considered when comparing compounds for relative translaminar activity.