Summary
Sources: https://github.com/deepmind/alphafold
License: https://github.com/deepmind/alphafold/blob/main/LICENSE (non-commercial use only)
Note: Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper.
Genetic Databases: /beegfs/desy/group/it/ReferenceData/alphafold
Samples: /software/alphafold/
casp14: https://www.predictioncenter.org/casp14/index.cgi (T1050)
This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document.
Versions available:
- Alphafold 2.1.1 (local installation)
- recommended version
- multimer capable
- no docker or singularity images involved
- Alphafold 2.1.1 (docker based installation)
- has some issues particularly on new A100 nodes
- not really recommended anymore
- Alphafold 2.0 (docker and singularity based)
- obsolete
- works well
- no multimer support (other than through artificially glued constructions)
alphafold simple recipes has some primitive python samples to handle pickled files.
Attachments:
t1050.PNG (image/png)
t1050s.PNG (image/png)
alphafold-load4.PNG (image/png)
alphafold-load3.PNG (image/png)
alphafold-load2.PNG (image/png)
alphafold-load1.PNG (image/png)
alphafold-load8.PNG (image/png)
alphafold-load7.PNG (image/png)
alphafold-load6.PNG (image/png)
alphafold-load5.PNG (image/png)
