Microenvironment Awareness Pragmatic Analysis for Generative Enzyme Function Reasoning
Initializing MPA-EC model. This may take 30-60 seconds on first use.
You can start entering sequences while the model loads.
Upload files containing protein sequences in the following formats:
.fasta, .fa): Standard FASTA files with headers starting with >.txt): Plain text with one sequence per line.csv): Comma-separated values with sequence in first column (optional header)Note: Maximum 10 sequences per batch. Sequences should contain standard amino acid codes (A,C,D,E,F,G,H,I,K,L,M,N,P,Q,R,S,T,V,W,Y).
MPA-EC is our fine-tuned model with microenvironment awareness. Llama3.1 is the base model for comparison.
Enter a protein sequence and click "Predict EC Number" to see results here.
The model will analyze your sequence, find similar enzymes, and generate EC predictions with detailed reasoning.