Boosting Convolutional Neural Networks' Protein Binding Site Prediction Capacity Using SE(3)-invariant transformers, Transfer Learning and Homology-based Augmentation.
Daeseok LeeBonggun ShinJeunghyun ByunPublished in: CoRR (2023)
Keyphrases
- transfer learning
- protein interaction
- binding sites
- convolutional neural networks
- sequence alignment
- protein protein
- virtual screening
- amino acid sequences
- predicting protein
- knowledge transfer
- protein protein interactions
- learning algorithm
- dna binding
- regulatory elements
- gene expression
- protein structure prediction
- protein function
- dna sequences
- machine learning
- sequence data
- collaborative filtering
- labeled data
- sequence analysis
- protein sequences
- cross domain
- active learning
- drug design
- reinforcement learning
- computational methods
- structure learning
- transfer knowledge
- transcription factor binding sites
- text classification
- machine learning algorithms
- multi task
- cis regulatory
- protein complexes
- text mining
- similarity searching
- semi supervised learning
- text categorization
- drug discovery
- biological systems
- microarray
- systems biology
- high throughput
- secondary structure
- protein structure
- data sets