Selecting the right compounds for screening: use of surface-area parameters

Area of Science:

• Agrochemical research
• Computational chemistry
• Drug discovery

Background:

• Agrochemicals like herbicides and insecticides are crucial for crop protection.
• Predictive modeling aids in the discovery of new agrochemical compounds.
• Physicochemical properties influence a compound's biological activity and suitability.

Purpose of the Study:

• To calculate and analyze surface area parameters (polar, total, percentage) for a large set of herbicides and insecticides.
• To identify preferred ranges for these surface area parameters.
• To compare the utility of surface area parameters with Lipinski's Rule of 5 for agrochemical screening.

Main Methods:

• 3D structures of 88 post-emergence herbicides, 93 pre-emergence herbicides, and 237 insecticides were analyzed.
• Polar surface area, total surface area, and percentage surface area were calculated.
• Calculated surface area parameters were compared against Lipinski's Rule of 5 parameters (molecular mass, log P, H-bond donors/acceptors).

Main Results:

• Preferred ranges for surface area parameters were identified across different agrochemical classes.
• The broad applicability of the training set compounds resulted in broad parameter ranges.
• Surface area parameters did not demonstrate a clear advantage over Lipinski's Rule of 5 parameters in this study.

Conclusions:

• While surface area parameters can be calculated for agrochemicals, they do not appear to offer superior predictive power over simpler Lipinski's Rule of 5 parameters for initial screening.
• Further research may explore combined parameter sets or alternative physicochemical descriptors for enhanced agrochemical discovery.