Comments (3)
If you just use the database name only "pdb100_230517" instead of the full path it should put the .m8 file in the desired output directory instead the database directory. This is a quoted example from issue 563. Hope this helps.
Currently,
colabfold_search
can generate a list of template PDB files together with MSA files. For example,MMSEQS_PATH="/path/to/your/mmseqs2/for_colabfold" DATABASE_PATH="/mnt/databases" INPUTFILE="ras_raf.fasta" OUTPUTDIR="ras_raf" colabfold_search \ --use-env 1 \ --use-templates 1 \ --db-load-mode 2 \ --db2 pdb100_230517 \ --mmseqs ${MMSEQS_PATH}/bin/mmseqs \ --threads 4 \ ${INPUTFILE} \ ${DATABASE_PATH} \ ${OUTPUTDIR}
from colabfold.
If you just use the database name only "pdb100_230517" instead of the full path it should put the .m8 file in the desired output directory instead the database directory. This is a quoted example from issue 563. Hope this helps.
Currently,
colabfold_search
can generate a list of template PDB files together with MSA files. For example,MMSEQS_PATH="/path/to/your/mmseqs2/for_colabfold" DATABASE_PATH="/mnt/databases" INPUTFILE="ras_raf.fasta" OUTPUTDIR="ras_raf" colabfold_search \ --use-env 1 \ --use-templates 1 \ --db-load-mode 2 \ --db2 pdb100_230517 \ --mmseqs ${MMSEQS_PATH}/bin/mmseqs \ --threads 4 \ ${INPUTFILE} \ ${DATABASE_PATH} \ ${OUTPUTDIR}
Just heads up this works only if you run a single sequence. If you run it in a fasta or csv file with multiple sequence, there's still some file naming issues that will throw you an error.
from colabfold.
If you just use the database name only "pdb100_230517" instead of the full path it should put the .m8 file in the desired output directory instead the database directory. This is a quoted example from issue 563. Hope this helps.
Currently,
colabfold_search
can generate a list of template PDB files together with MSA files. For example,MMSEQS_PATH="/path/to/your/mmseqs2/for_colabfold" DATABASE_PATH="/mnt/databases" INPUTFILE="ras_raf.fasta" OUTPUTDIR="ras_raf" colabfold_search \ --use-env 1 \ --use-templates 1 \ --db-load-mode 2 \ --db2 pdb100_230517 \ --mmseqs ${MMSEQS_PATH}/bin/mmseqs \ --threads 4 \ ${INPUTFILE} \ ${DATABASE_PATH} \ ${OUTPUTDIR}
This indeed solved the issue I was facing 👍
Thank you
from colabfold.
Related Issues (20)
- docker image for cuda11.1? HOT 41
- Questions on large-scale binary complex predictions
- About MsaServer issue HOT 1
- Keep only the most diverse sequences in evey cluster HOT 1
- Problem using colabfold_search for complexes HOT 8
- Does sequence order matter when predicting complex HOT 1
- Running with (A3M input + custom_template_path + is_complex) gives HHsearch error HOT 4
- Upload box for template does not appear HOT 2
- Alphafold_batch HOT 3
- run AMBER relaxation within Docker HOT 1
- MsaServer GET/template 400 error for colabfold batch use_templates=True HOT 7
- Colabfold_search error for non-indexed databases with templates to generate pdb-hit file HOT 3
- Expecting Multimple model of single sequence run HOT 2
- AF2 Colabfold (using MMSeqs2) rapid crash with "Bio" module not found, due to BiopythonDeprecation "Warning" HOT 4
- Colabfold_batch connects to mmseqs server despite msa input HOT 11
- Generating MSAs for chimeric proteins HOT 2
- [BUG] batch error when colabfold_search --use-templates in local search HOT 5
- `colabfold_search` 1.5.5 names first sequence in `.a3m` file universally 101 HOT 1
- colabfold_batch fails with "Could not get MSA/templates list index out of range" on MSA from colabfold_search HOT 2
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