I’m trying to run docker for alphafold but it says that there is no ‘/home/administrator/alphafold/run_alphafold.py’ in the directory even if it does exist
Code I’m trying to run
python3 docker/run_docker.py \
--fasta_paths=your_protein.fasta \
--max_template_date=2022-01-01 \
--data_dir=/data8/Alphafold_database\
--output_dir=/data8/Alphafold_output_dir
OBS: this is just a test to know if docker is working (your_protein.fasta doesn’t really exist)
What it returns
(base) administrator@LPgru:~$ python3 docker/run_docker.py \
--fasta_paths=your_protein.fasta \
--max_template_date=2022-01-01 \
--data_dir=/data8/Alphafold_database\
--output_dir=/data8/Alphafold_output_dir
I0525 20:56:32.069198 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/fasta_path_0
I0525 20:56:32.069264 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/uniref90_database_path
I0525 20:56:32.069294 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/mgnify_database_path
I0525 20:56:32.069319 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/data_dir
I0525 20:56:32.069343 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/template_mmcif_dir
I0525 20:56:32.069365 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/obsolete_pdbs_path
I0525 20:56:32.069388 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/pdb70_database_path
I0525 20:56:32.069410 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/uniref30_database_path
I0525 20:56:32.069432 140690356790336 run_docker.py:116] Mounting /data8/Alphafold_output_dir -> /mnt/bfd_database_path
I0525 20:56:32.378198 140690356790336 run_docker.py:258] python: can't open file '/home/administrator/alphafold/run_alphafold.py': [Errno 2] No such file or directory
run_alphafold.py exists
(base) administrator@LPgru:~$ cd /home/administrator/alphafold/
(base) administrator@LPgru:~/alphafold$ ls
afdb alphafold CONTRIBUTING.md database docs imgs LICENSE notebooks README.md requirements.txt run_alphafold.py run_alphafold_test.py scripts setup.py
Dockerfile
# Copyright 2021 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
ARG CUDA=11.1.1
FROM nvidia/cuda:${CUDA}-cudnn8-runtime-ubuntu18.04
# FROM directive resets ARGS, so we specify again (the value is retained if
# previously set).
ARG CUDA
# Use bash to support string substitution.
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN apt-get update \
&& DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
build-essential \
cmake \
cuda-command-line-tools-$(cut -f1,2 -d- <<< ${CUDA//./-}) \
git \
hmmer \
kalign \
tzdata \
wget \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get autoremove -y \
&& apt-get clean
# Compile HHsuite from source.
RUN git clone --branch v3.3.0 https://github.com/soedinglab/hh-suite.git /tmp/hh-suite \
&& mkdir /tmp/hh-suite/build \
&& pushd /tmp/hh-suite/build \
&& cmake -DCMAKE_INSTALL_PREFIX=/opt/hhsuite .. \
&& make -j 4 && make install \
&& ln -s /opt/hhsuite/bin/* /usr/bin \
&& popd \
&& rm -rf /tmp/hh-suite
# Install Miniconda package manager.
RUN wget -q -P /tmp \
https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
&& bash /tmp/Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda \
&& rm /tmp/Miniconda3-latest-Linux-x86_64.sh
# Install conda packages.
ENV PATH="/opt/conda/bin:$PATH"
RUN conda install -qy conda==4.13.0 \
&& conda install -y -c conda-forge \
openmm=7.7.0 \
cudatoolkit==${CUDA_VERSION} \
pdbfixer \
pip \
python=3.8 \
&& conda clean --all --force-pkgs-dirs --yes
COPY . /home/administrator/alphafold
RUN wget -q -P /home/administrator/alphafold/alphafold/common \
https://git.scicore.unibas.ch/schwede/openstructure/-/raw/7102c63615b64735c4941278d92b554ec94415f8/modules/mol/alg/src/stereo_chemical_props.txt
# Install pip packages.
RUN pip3 install --upgrade pip --no-cache-dir \
&& pip3 install -r /home/administrator/alphafold/docker/requirements.txt --no-cache-dir \
&& pip3 install --upgrade --no-cache-dir \
jax==0.3.25 \
jaxlib==0.3.25+cuda11.cudnn805 \
-f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
# Add SETUID bit to the ldconfig binary so that non-root users can run it.
RUN chmod u+s /sbin/ldconfig.real
# We need to run `ldconfig` first to ensure GPUs are visible, due to some quirk
# with Debian. See https://github.com/NVIDIA/nvidia-docker/issues/1399 for
# details.
# ENTRYPOINT does not support easily running multiple commands, so instead we
# write a shell script to wrap them up.
WORKDIR /home/administrator/alphafold
RUN echo $'#!/bin/bash\n\
ldconfig\n\
python /home/administrator/alphafold/run_alphafold.py "$@"' > /home/administrator/run_alphafold.sh \
&& chmod +x /home/administrator/run_alphafold.sh
ENTRYPOINT ["/home/administrator/run_alphafold.sh"]
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