Drug Side-effect Prediction based on Comprehensive Drug Similarity
Chengcheng Sun, Yi Zheng, Yan Jia, Liang Gan
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.28How to use a DOI?
- drug side-effect prediction; comprehensive drug similarity; drug chemical structure; drug target protein.
- Drug side-effects have gained attention from the whole society because of significant morbidities and mortalities they caused. Therefore, the early detection of side-effects, before reaching the clinical stages, is important yet challenging. In this paper, we proposed a comprehensive similarity framework to measure the similarity between drugs and developed a side-effect prediction approach based on it. The new comprehensive similarity integrates drug formula similarity, drug chemical structure similarity, drug substituent similarity, drug target similarity and drug side-effect similarity in a unified framework to capture drug features from different perspectives. Extensive comparison experiments on real drug side-effect prediction demonstrate that our proposed approach is competent to drug side-effect prediction and outperforms other state-of-the-art approaches.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chengcheng Sun AU - Yi Zheng AU - Yan Jia AU - Liang Gan PY - 2017/03 DA - 2017/03 TI - Drug Side-effect Prediction based on Comprehensive Drug Similarity BT - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016) PB - Atlantis Press SP - 171 EP - 178 SN - 2352-5401 UR - https://doi.org/10.2991/ifmca-16.2017.28 DO - https://doi.org/10.2991/ifmca-16.2017.28 ID - Sun2017/03 ER -