Closed jimfeng9705 closed 2 months ago
You can use your own MSA file (.a3m
format) as input
:
colabfold_batch --templates --amber YOUR.a3m outputdir/
If you have multiple MSA files, you may specify the directory containing them:
colabfold_batch --templates --amber DIRECTORY_containing_msa_files outputdir/
If a directory is specified as input, colabfold_batch will predict the structures based on each MSA file sequentially.
Where can we define the csv file? How to enter the directory for the custom msas? Do we need a flag for the msa files?
I used the following command, but encountered "unrecognized argument:outputdir"
colabfold_batch --templates --amber xxx.csv /home/subsampled_MSAs outputdir/
colabfold_batch --templates --amber xxx.csv /home/subsampled_MSAs outputdir/
You specified three positional arguments. xxx.csv
and /home/subsampled_MSAs
cannot be combined.
MSA input in .a3m
format may only be used for a single prediction.
If you want to predict for multiple MSA files in a directory, you may achieve it using bash's for loop:
#!/bin/bash
MSA_DIR="/home/subsampled_MSAs"
for INPUT in $MSA_DIR/*.a3m; do
colabfold_batch --templates --amber ${INPUT} outputdir/
done
"ColabFold can accept various input files now. See the help messsage. You can set your own A3M file, a fasta file that contains multiple sequences (in FASTA format), or a directory that contains multiple fasta files."
What is the argument/flag to define the directory that contains multiple asm files? Are these files to be used sequentially to generate corresponding pdb files?