Predicting multiple conformations and ensembles with AlphaFold2
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docker run --volume <path-to-databases>:/databases \
--volume <path-to-inputs>:/inputs \
--volume <path-to-outputs>:/outputs \
-it kyogesh/afsample2:mark8 \
--method afsample2 \
--fasta_paths inputs/example.fasta \
--flagfile inputs/flagfile.flag \
--nstruct 4 \
--msa_rand_fraction 0.20 \
--model_preset=monomer \
--output_dir examples/
apptainer run --nv -B <path-to-databases>:/databases \
-B <path-to-inputs>:/input \
-B <path-to-outputs>:/output \
<path-to-sif-image> \ \
--method afsample2 \
--fasta_paths inputs/example.fasta \
--flagfile inputs/flagfile.flag \
--nstruct 1 \
--msa_rand_fraction 0.20 \
--model_preset=monomer \
--output_dir /output \
Content type
Image
Digest
sha256:731a6d4d0…
Size
6 GB
Last updated
over 1 year ago
docker pull kyogesh/afsample2:v1.1