Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing.
Shreyas VSwati AgarwalPublished in: CoRR (2024)
Keyphrases
- deep learning
- protein sequences
- computational biology
- transcription factors
- binding sites
- protein protein
- natural language processing
- biological sequences
- machine learning
- motif discovery
- unsupervised learning
- protein families
- molecular biology
- dna sequences
- genome sequences
- sequence alignment
- amino acids
- gene expression
- protein structure
- protein structure prediction
- genomic data
- dna binding
- secondary structure
- protein function
- natural language
- sequence data
- predicting protein
- transcription factor binding sites
- wordnet
- information extraction
- learning algorithm
- amino acid sequences
- systems biology
- question answering
- named entities
- knowledge representation
- data analysis
- named entity recognition
- sequence databases
- statistical significance