The ACVPICPred is a hybrid model based on multi-layer perceptron and two-dimensional convolutional neural network, used to predict the activity of anti coronavirus peptides. It predicts the inhibitory concentration of peptides based on five user input data: sequence, antiviral, detection, inhibition value type, and inhibition unit.

To ensure the proper functioning of the tool, please note:

1. Currently, only one peptide data can be processed at a time.
2. The text box only accepts peptide sequences (containing only natural amino acids.
3. Uploading the structural data of peptides is necessary. And only supports pdb format. You can use bioinformatics tools such as AlphaFold3 and PEP-FOLD3 to predict the structure of your peptide.

Number: the serial number of the query sequence;

Length: the length of the query sequence;

Sequence: the sequence of the query peptide;

Virus:the name of the virus inhibited by anti-coronavirus peptides;

Assay: the name of the experiment conducted to obtain the activity value;

Type: the type of inhibition concentration;

Unit: the type of unit for inhibition concentration;

Predicted value: the predicted inhibition concentration value by the tool;

Predicted target: the predicted target of anti-coronavirus peptidesby the tool;