cag VirAIPowered by Deep Learning
Predict whether a virus infects insects, mammals, plants or birds using state-of-the-art 1D CNN Deep Learning model and advanced sequence analysis.
Engineered for Precision
A purpose-built pipeline combining multiple machine learning models with advanced bioinformatics for reliable predictions.
Fast Predictions
Get results in seconds with our optimized DL pipeline
High Accuracy
Our 1D CNN model ensure reliable predictions
1D CNN Model
Captures local motifs and global sequence pattern
Total Fragments for Model Training
600bp - 346738 fragments of 3948 unique viral tax ids
1D CNN Model Valiadtion Accuracy
Our hierarchical multi-task convolutional neural network (CNN) trained to predict viral taxonomy & host associations directly from 600-nucleotide RNA viral genome fragments. Our model prediction has minimum length threshold of 200bp to complete genome.
Insect
Host Class
Identifies genomic signatures specific to viruses that infect insect.
Mammal
Host Class
Identifies genomic signatures specific to viruses that infect mammal.
Plant
Host Class
Identifies genomic signatures specific to viruses that infect plant.
Avian
Host Class
Identifies genomic signatures specific to viruses that infect avian.
Run Your First Prediction
No Data? No Problem
Use our curated example sequence to test the platform's full analysis pipeline.
Full Analysis in <10s
See feature extraction, model inference, and confidence scoring in real-time.
Ready to Classify Your Sequences?
Upload FASTA files or paste sequences directly. Our ensemble model provides host predictions with confidence scores and detailed feature analysis.
Supported formats: FASTA, raw sequence • Max file size: 50MB