Predictive Modelling of Pesticide Properties for Risk Assessment: A Curated Dataset and QSAR Evaluation for 110 Active Ingredients | Synapse
April 25, 2026
Predictive Modelling of Pesticide Properties for Risk Assessment: A Curated Dataset and QSAR Evaluation for 110 Active Ingredients
Key Points
Assess the predictive modelling of pesticide properties for effective risk assessment.
Utilized a curated dataset of 110 active pesticide ingredients.
Conducted QSAR (Quantitative Structure-Activity Relationship) evaluations to ascertain properties.
Analyzed environmental and health risk factors associated with pesticides.
Identified key properties affecting toxicity and environmental impact.
Established correlations between pesticide structure and risk assessment outcomes.
Abstract
Pesticides play a critical role in global food security. However, some of them also pose significant environmental and health risks, particularly in tropical regions where data gaps hinder accurate risk...