AlphaFold 2.1.1-foss-2021a-CUDA-11.3.1
There is a newer install of AlphaFold
AlphaFold can predict protein structures with atomic accuracy even where no similar structure is knownAccessing AlphaFold 2.1.1-foss-2021a-CUDA-11.3.1
To load the module for AlphaFold 2.1.1-foss-2021a-CUDA-11.3.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load AlphaFold/2.1.1-foss-2021a-CUDA-11.3.1
There is a CPU version of this module: AlphaFold 2.1.1-foss-2021a
BEAR Apps Version
Architectures
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — EL8-sapphirerapids
The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
AlphaFold Databases
The AlphaFold databases, include both the full and reduced versions, are available in ${BB_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. We provide several database downloads from different dates in ${BB_APPS_DATA}/AlphaFold
. Select one of these centrally downloaded databases to use and add the following to your jobscript (replacing YYYYMMDD
with the relevant database date):
export ALPHAFOLD_DATA_DIR=${BB_APPS_DATA}/AlphaFold/YYYYMMDD
Extensions
- chex 0.0.8
- contextlib2 21.6.0
- dm-haiku-0.0.4
- dm-tree-0.1.6
- docker 5.0.0
- immutabledict 2.1.0
- ml_collections 0.1.0
- PDBFixer 1.7
- tabulate 0.8.9
- toolz 0.11.1
- websocket-client-1.2.1
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/0.2.24-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
Other Versions
These versions of AlphaFold are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Version | BEAR Apps Version |
---|---|
2.3.2-foss-2022a-CUDA-11.7.0 | 2022a |
2.3.2-foss-2022a | 2022a |
2.3.1-foss-2022a-CUDA-11.7.0 | 2022a |
2.3.1-foss-2022a | 2022a |
2.2.2-foss-2021a-CUDA-11.3.1 | 2021a |
2.1.1-foss-2021a | 2021a |
Last modified on 2nd December 2021