Colabfold Search¶
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Performs Colabfold MSA search on provided protein sequences against known sequence databases, returning results for each sequence in .a3m
format as a dictionary {seq_id: a3m_content}
.
Quick Start¶
- Prepare your protein sequences in FASTA format.
- Connect the FASTA input to the Colabfold Search node.
- Run the node to obtain MSA search results in
.a3m
format.
Setup Guide¶
1. Prepare Input¶
- Format your protein sequences as a valid FASTA string.
- Ensure each sequence has a unique identifier.
2. Run Colabfold Search¶
- Connect the FASTA input to the node.
- Execute the node to perform the MSA search.
Basic Usage¶
Single or Batch MSA Search¶
- Accepts single or multiple protein sequences in FASTA format.
- Returns a dictionary mapping each sequence ID to its
.a3m
MSA result.
Configuration¶
Required Inputs¶
Field | Description | Type | Example |
---|---|---|---|
fasta | Sequences to run Colabfold MSA search on. | FASTA | ">seq1\nMKT..." |
Optional Inputs¶
None
Outputs¶
Field | Description | Example |
---|---|---|
msa.a3m | Search results as a dict {seq_id: a3m_content} . |
{ "seq1": "...a3m..." } |
Best Practices¶
Input Preparation¶
- Use clear, unique sequence IDs in your FASTA records.
- Validate FASTA formatting to avoid processing errors.
Workflow Integration¶
- Use the output
.a3m
directly as input for downstream structure prediction nodes (e.g., Alphafold, Boltz). - For batch processing, ensure all sequences are relevant to the same analysis context.
Troubleshooting¶
Common Issues¶
- Empty or malformed FASTA input: Ensure your input is properly formatted and not empty.
- Timeouts on large batches: For very large numbers of sequences, consider splitting into smaller batches.
Need Help?¶
- ColabFold documentation
- Contact support for further assistance.