Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach.
Mohamad Koohi-MoghadamHaibo WangYuchuan WangXinming YangHongyan LiJunwen WangHongzhe SunPublished in: Nat. Mach. Intell. (2019)
Keyphrases
- deep learning
- binding sites
- dna binding
- protein protein
- protein interaction
- predicting protein
- transcription factors
- unsupervised learning
- dna sequences
- sequence data
- gene expression
- cis regulatory
- protein families
- protein protein interaction networks
- motif discovery
- statistical significance
- genome wide
- machine learning
- mental models
- biological processes
- protein function
- protein structure
- protein protein interactions
- weakly supervised
- functional modules
- transcription factor binding sites
- protein sequences
- signaling pathways
- interaction networks
- statistically significant
- amino acids
- protein interaction networks
- protein complexes
- high throughput
- natural language processing
- feature selection
- data sets