AlphaFold 2.2.2-foss-2021a-CUDA-11.3.1
AlphaFold can predict protein structures with atomic accuracy even where no similar structure is knownAccessing AlphaFold 2.2.2-foss-2021a-CUDA-11.3.1
To load the module for AlphaFold 2.2.2-foss-2021a-CUDA-11.3.1 please use this command on Baskerville:
📋
module load bask-apps/live
module load AlphaFold/2.2.2-foss-2021a-CUDA-11.3.1
Bask Apps Env
AlphaFold Databases
The AlphaFold databases, include both the full and reduced versions, are available in ${BASK_APPS_DATA}/AlphaFold
. Inside that folder you will find folder(s) dated by download date. Each dated folder contains all of the databases that can be downloaded with the download_all_data.sh
script and was downloaded on the date as indicated by the folder name.
Running AlphaFold
For convenience a symbolic link named alphafold
points to the run_alphafold.py
script. So, once the AlphaFold module is loaded, you can just use alphafold
instead of run_alphafold.py
or python run_alphafold.py
.
The run_alphafold.py
script has been modified so that it is sufficient to define the $ALPHAFOLD_DATA_DIR
environment variable for it to pick up all the data provided in that location. So, adding export ALPHAFOLD_DATA_DIR=${BASK_APPS_DATA}/AlphaFold/20220825
to your jobscript will be sufficient for the centrally downloaded databases to be detected.
Extensions
- chex 0.1.3
- contextlib2 21.6.0
- dm-haiku-0.0.6
- dm-tree-0.1.7
- docker 5.0.3
- immutabledict 2.2.1
- jmp 0.0.2
- ml_collections 0.1.1
- PDBFixer 1.7
- tabulate 0.8.10
- toolz 0.11.2
- websocket-client-1.3.3
More Information
For more information visit the AlphaFold website.
Dependencies
This version of AlphaFold has a direct dependency on: Biopython/1.79-foss-2021a CUDA/11.3.1 cuDNN/8.2.1.32-CUDA-11.3.1 foss/2021a HH-suite/3.3.0-gompi-2021a HMMER/3.3.2-gompi-2021a jax/0.3.9-foss-2021a-CUDA-11.3.1 Kalign/3.3.1-GCCcore-10.3.0 NCCL/2.10.3-GCCcore-10.3.0-CUDA-11.3.1 Python/3.9.5-GCCcore-10.3.0 PyYAML/5.4.1-GCCcore-10.3.0 SciPy-bundle/2021.05-foss-2021a TensorFlow/2.6.0-foss-2021a-CUDA-11.3.1 UCX-CUDA/1.10.0-GCCcore-10.3.0-CUDA-11.3.1
Last modified on 22nd August 2022