GPCR-AFPN is an advanced method for identifying GPCRs. This method leverages the FastText algorithm to effectively extract features from protein sequences. Additionally, it employs a powerful deep neural network as the predictive model, to improve prediction accuracy.
Prediction by inputting sequences:
Prediction by uploading files:
Notice:
Enter the sequences of the query proteins in FASTA format (example).
The number of protein sequences submitted each time is limited to 20 when using the function "Prediction by input sequence".
If you need to submit quantities of protein sequences at once, you can use the function "Prediction by uploading files" . More info...