High-Throughput Prediction of Amyloidogenic Proteins

VAEBAC is a deep learning–based framework that identifies aggregation-prone proteins using representation learning and physicochemical feature integration.

Try the Tool

Submit Protein Sequence

Provide your sequence in FASTA format or upload a file.

About VAEBAC

Protein aggregation is a hallmark of numerous neurodegenerative disorders. VAEBAC leverages a hybrid LSTM-VAE architecture to learn latent sequence representations and improve prediction robustness beyond traditional rule-based methods.

How to Use

Paste protein sequence in FASTA format
Or upload a FASTA file
Click “Run Prediction”
Download results and visualizations

Contact

For queries or collaboration:
Email: rizwanhkhan1@gmail.com