OrthoHPI 2.0 is a resource that provides homology-derived predictions of host-parasite protein-protein interactions (PPI). This work renews and extends OrthoHPI by integrating new versions of databases, predictors and proteomes of 24 eukaryotic parasites such as apicomplexa and trypanosomatids.
This resource provides tissue and cell type resolution interactions as well as annotation of Biological Processes that allows a comprehensive analysis and comparison of all the parasitic species studied.
OrthoHPI 2.0 has been developed entirely with Python 3.8.2 and Streamlit (https://docs.streamlit.io/) for visualization and analysis of the results.
The homology prediction has been done using:
The tissue and cellular compartment annotation used to filter the proteomes come from:
The cell type expression information has been downloaded from:
All the necessary data (predictions and annotations) have been precalculated so you can run the web server:
$ streamlit run orthohpi_web.py
This will open your browser at http://localhost:8501 with the functionality shown in the video:
orthohpi2.0.mp4
If you want to rerun the predictions, you can install and run the pipeline following these instructions.
$ pip install -r requirements.txt
To obtain the Human-Parasite PPI predictions run:
$ python main.py