Running ProSPr

conda env create -f dependencies/prospr-env.yml

# Make a prediction:python3 prospr.py predict --a3m ./data/evaluate/T1034.a3m# Or train a new networkpython3 prospr.py train

python3 prospr.py -h

Docker

cd prospr# Build the docker imagedocker build -t prospr-dev dependencies# Run a docker container interactivelydocker run -it --gpus all --name myname-prospr-dev --rm -v $(pwd):/code prospr-dev# Then, inside the docker container, make a prediction:cd codepython3 prospr.py predict --a3m ./data/evaluate/T1034.a3m# Or train a new networkpython3 prospr.py train

@Article{ijms222312835,AUTHOR = {Stern, Jacob and Hedelius, Bryce and Fisher, Olivia and Billings, Wendy M. and Della Corte, Dennis},TITLE = {Evaluation of Deep Neural Network ProSPr for Accurate Protein Distance Predictions on CASP14 Targets},JOURNAL = {International Journal of Molecular Sciences},VOLUME = {22},YEAR = {2021},NUMBER = {23},ARTICLE-NUMBER = {12835},URL = {https://www.mdpi.com/1422-0067/22/23/12835},PubMedID = {34884640}