UniPPI: protein–protein interactions

UniPPI utilizes a neural network model based on the protein representation method UniRep .This model demonstrates excellent performance on protein-protein interaction data from yeast, Helicobacter pylori, and human proteins. Therefore, by collecting over 4 million protein-protein interaction data from the DIP, BIOGRID, and STRING databases, we have constructed a prediction model and provided a protein-protein interaction prediction platform, offering valuable insights for protein interaction studies.

Note:

1. The input should be protein sequences or in FASTA format.

2. The order of the protein sequences does not matter.

3. The prediction may take long depending on concurrent requests.

Type manually
Upload FASTA sequences (.fasta)
Example
PPI Probability: 99.8%
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