# Use the Ubuntu 20.04 image of NVIDIA CUDA 11.7.1 and cuDNN as the base image FROM nvidia/cuda:11.7.1-devel-ubuntu20.04 ENV DEBIAN_FRONTEND=noninteractive # Install necessary packages RUN apt-get update && apt-get install -y \ libxrender1 \ wget \ g++ \ cmake \ zip \ curl \ ca-certificates \ git \ && rm -rf /var/lib/apt/lists/* # isntall Miniconda RUN wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh \ && bash /tmp/miniconda.sh -b -p /root/miniconda3 \ && rm /tmp/miniconda.sh # init Miniconda and create conda env ENV PATH="/root/miniconda3/bin:$PATH" RUN conda init bash \ && . /root/.bashrc \ && conda create -n OpenBioMed python=3.9 -y \ && conda activate OpenBioMed \ && pip install --upgrade pip setuptools # Installing PyTorch and torchvision RUN pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117 \ && pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-1.13.1+cu117.html \ && pip install pytorch_lightning==2.0.8 peft==0.9.0 accelerate==1.3.0 --no-deps -i https://pypi.tuna.tsinghua.edu.cn/simple # Install additional packages from requirements.txt RUN pip install -r requirements.txt # Install visualization tools RUN conda install -c conda-forge pymol-open-source -y \ && pip install imageio # Install AutoDockVina tools RUN git config --global http.proxy http://100.68.173.241:3128 \ && git config --global https.proxy http://100.68.173.241:3128 \ && pip install meeko==0.1.dev3 pdb2pqr vina==1.2.2 \ && pip install git+https://github.com/Valdes-Tresanco-MS/AutoDockTools_py3 # Install NLTK RUN pip install spacy rouge_score nltk \ && python -c "import nltk; nltk.download('wordnet'); nltk.download('omw-1.4')" # Set working directory WORKDIR /app # Activate the OpenBioMed environment by default RUN echo "source activate OpenBioMed" >> ~/.bashrc # Set default command ENTRYPOINT ["./scripts/run_server.sh"]