DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks
Abstract
Drug discovery demands rapid quantification of compound–protein interaction (CPI). However, there is a lack of methods that can predict compound–protein affinity from sequences alone with high applicability, accuracy and interpretability.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 15, 2019
- Source ID
- 10.1093/bioinformatics/btz111
Entities
People
- Di Wu
- Mostafa Karimi
- Yang Shen
- Zhangyang Wang
Organizations
- Defense Advanced Research Projects Agency
- National Institute of General Medical Sciences
- National Institutes of Health
- Texas A&M University