Prediction Online

Identifying the involvement of chemicals in important reproductive biological processes in mouse

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.

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Browse and Search of Prediction Results of 10,396 Chemicals

Molecule (CID) GO ID Biological Process Probability Function (Yes or No)
6421407 GO:0009790 Embryo Development 0.9689 Yes
6421407 GO:0007283 Male Gamete Generation 0.9664 Yes
307326 GO:0007283 Male Gamete Generation 0.9656 Yes
307471 GO:0007283 Male Gamete Generation 0.9623 Yes
307326 GO:0009790 Embryo Development 0.9609 Yes
307471 GO:0009790 Embryo Development 0.9583 Yes
466333 GO:0009790 Embryo Development 0.9507 Yes
6421407 GO:0048477 Female Gamete Generation 0.9442 Yes
307326 GO:0048477 Female Gamete Generation 0.9435 Yes
307471 GO:0048477 Female Gamete Generation 0.9433 Yes

For any questions on the database, please send E-mail to caoyuedi@sjtu.edu.cn.

Copyright © Haifeng Chen Lab, Shanghai Jiao Tong University.