Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning.
Ying XuAndré LeierTatiana T. Marquez-LagoJue XieAntonio Jimeno-YepesJames C. WhisstockCampbell WilsonJiangning SongPublished in: AMIA (2020)
Keyphrases
- deep learning
- secondary structure
- protein secondary structure
- multi task
- disordered regions
- predicting protein
- tertiary structure
- amino acid sequences
- amino acids
- protein secondary structure prediction
- protein sequences
- protein structure prediction
- protein structure
- experimentally determined
- computational methods
- secondary structure of proteins
- machine learning
- protein folding
- unsupervised learning
- learning tasks
- protein function
- multi class
- transfer learning
- feature selection
- mental models
- protein protein interactions
- prediction accuracy
- protein interaction
- molecular biology
- learning problems
- information extraction
- contact map
- psi blast
- object recognition
- physicochemical properties
- data sets
- reinforcement learning
- feature vectors
- learning process
- active learning