This repository contains the source code and datasets models accompanying the our paper: Learning spatial structures of proteins improves protein-protein interaction prediction.
- python >= 3.6
- pytorch
- numpy
- pandas
- dgl
- sklearn
The datasets we used in the study can be downloaded through the following links.
The sequence embedding method is available at: SeqVec
After prepared with suitable environment, you can execute the following command to execute the code with default parameters.
sh run.shIf you have any questions, comments, or would like to report a bug, please file a Github issue.