The database offers an online tool for predicting the involvement of compounds in important biological processes in mouse. Based on the significance of key reproductive processes and the subsequent profound impact and influence of chemicals, we selected the relationships between functional chemicals and reproductive processes from the ReproductiveCDB and extracted their respective features. Subsequently, we employed the deep neural method (DNN) in machine learning to build predictive models and achieve reliable results. This tool significantly enhances the practicality of the database, expands the dataset, and provides a streamlined approach, eliminating the time and effort associated with biological experiments.
For any questions on the database, please send E-mail to caoyuedi@sjtu.edu.cn.
Copyright © Haifeng Chen Lab, Shanghai Jiao Tong University.