- PyRosetta==4
- numpy>=1.20.2
- pandas>=1.2.5
- tqdm==4.61.1
- scipy>=1.6.2
- seaborn>=0.11.2
- setuptools>=44.0.0
- imageio>=2.10.1
- matplotlib>=3.4.2
- tensorflow==1.15
The package is tested using Python 3.6 and 3.7. To install the software, please follow the instructions below:
- Install the above dependencies
- Download and install PyRosetta (http://www.pyrosetta.org/dow)
- Install the package following the instruction below:
git clone [email protected]:jianlin-cheng/DeepRLP.git
(If fail, try username) git clone https://github.com/jianlin-cheng/DeepRLP.git
cd DeepRLP
pip install -r requirements.txt
Alternatively, environment.yml files are provided to install the required packages using pip or conda.
- Reconstructing the dimer structure using true structure
python ./scripts/true_structure/dqn_docking.py <initial_pdb> <native_strcuture>
- Reconstructing the dimer structure using true/predicted contacts
python ./scripts/predicted_contacts/dqn_docking.py <path_to_the_DeepRLP_tool> <initial_start> <res_file> <out_dir> <target_name>
โ