Fig. 4From: Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulationIn silico prediction of ROS inference system. In silico prediction of ROS inference system was performed based on deep learning-based prediction of ROS accumulation combined with the chemical properties of the compounds as explanatory variables. The system processing steps were as follows: (1) Chemical feature values for each compound were obtained using Discovery Studio, and the collected data were aggregated at intervals of 5000 points. (2) The ROS inference model was used to determine the ROS production level for each compound. Compounds that exceeded the threshold value (log10[4.67]) were identified and consolidated as candidate compoundsBack to article page