Seq-InSite

Sequence-based Interaction Site prediction

Welcome to the Seq-InSite web server for protein interaction site prediction. Follow the steps below to use the server. We provide also the possibility of running our previous program, PITHIA, by selecting it from the menu below.

Usage:

1. Choose the prediction model from the menu: Seq-InSite (default) or PITHIA.
2. Provide the e-mail address to receive the results.
3. Input the protein sequences.
- Maximum 10 sequences at the time, each with length between 31 and 1000 amino acids.
- The sequences must be in FAST format, e.g.:
>WP_058509682
MNPNVSHLPRELSHMVSWSLTRLGKAIADVYGKETYDRIEQIRLSMQDTIGNKTFALRKA
...
>WP_085304639
MLETISQNIRSLGSVLGKTIANDKGQRWLENVERVRVLAKDGVAQDALAINELQTLFESC
...
4. Click the "predict" button
Upon submitting your request, the server will show an estimate time required to generate the results, and once the calculations are complete, the results will be delivered to you via email.

Source Code and Data

The Seq-InSite source code, pre-trained models, and all training and testing datasets are available on GitHub

Citation

S. Hosseini, G.B. Golding, L. Ilie, Seq-InSite: sequence supersedes structure for protein interaction site prediction, Bioinformatics, 2024;, btad738, https://doi.org/10.1093/bioinformatics/btad738

S. Hosseini, L. Ilie, L. PITHIA: Protein Interaction Site Prediction Using Multiple Sequence Alignments and Attention. Int. J. Mol. Sci. 2022, 23, 12814. https://doi.org/10.3390/ijms232112814

Acknowledgement

The backend server of Seq-InSite is provide by Compute Canada.

Contact information

SeyedMohsen Hosseini: shosse59[at]uwo.ca

Lucian Ilie: ilie[at]uwo.ca

Department of Computer Science

University of Western Ontario