# Modelling protein-interactions of human proteins with experimental crosslinking information
**I.O.U. the link to the ModelArchive entry**
[Link to project in ModelArchive](https://www.modelarchive.org/doi/10.5452/ma-low-csi)(incl. background on project itself)
**I.O.U. the link to the publication**
...
...
@@ -45,8 +45,8 @@ These models qualify as "de novo modelling".
### Usage
- The [conversion script](./translate2modelcif.py) runs on a single target (modelling project) directory, if you have multiple targets, like in a whole proteome, you need to loop over the directory and call the script for each separately
- Output can be written either to the model directory or a separated directory (`--out`)
- In this project, for each dimer only one model is stored at [ModelArchive](https://modelarchive.org/)(MA) but the other models for the same dimer are stored in a Zip archive that goes into MA with the model (`--selected_rank`)
- Output can be written either to the model directory or a separated directory (`--out-dir`)
- In this project, for each dimer only one model is stored at [ModelArchive](https://modelarchive.org/)(MA) but the other models for the same dimer are stored in a Zip archive that goes into MA with the model (`--selected-rank`)
- Following our [Docker README](../docker/README.md), the conversion can be called like this:
```terminal
$docker run --rm-v /home/user/models:/data -t converter:latest convert2modelcif --selected_rank 1 Q9Y5J9-Q9Y5L4/
