Prediction of protein mononucleotide binding sites using AlphaFold2 and machine learning.
Shohei YamaguchiHaruka NakashimaYoshitaka MoriwakiTohru TeradaKentaro ShimizuPublished in: Comput. Biol. Chem. (2022)
Keyphrases
- binding sites
- protein interaction
- dna binding
- machine learning
- protein protein
- sequence alignment
- predicting protein
- gene expression
- regulatory elements
- drosophila melanogaster
- transcription factor binding sites
- dna sequences
- transcription factors
- protein protein interactions
- sequence data
- protein function
- drug design
- genome wide
- computational methods
- protein structure prediction
- machine learning methods
- statistical significance
- computational biology
- motif discovery
- regulatory networks
- data mining
- natural language processing
- biological sequences
- protein families
- contact map
- protein complexes
- influenza virus
- protein interaction networks
- protein sequences
- statistical methods
- functional modules
- biological processes
- systems biology
- text mining
- biological data
- protein structure
- high throughput
- information extraction
- feature selection
- cis regulatory
- statistically significant
- microarray
- model selection