Release 2.1.0
Summary
This release introduces Paired MSA Search for protein complexes (multimers), enabling accurate co-evolutionary analysis across multiple chains. Paired search is now a first-class feature with its own API endpoint.
Key Changes
Paired MSA Search for Protein Complexes
A new endpoint /biology/colabfold/msa-search/paired/predict enables paired MSA search for protein complexes:
- Multi-chain input: Submit multiple protein sequences (one per chain) in a single request
- Species-based pairing: Homologous sequences are paired by species across chains, preserving co-evolutionary signals essential for accurate complex structure prediction
- Pairing strategies: Choose between “greedy” (maximize coverage) or “complete” (require all chains) pairing modes
- Flexible output: Return per-chain alignments or raw combined output via the
unpackparameter
This feature is essential for accurate structure prediction of protein complexes using tools like AlphaFold-Multimer, Boltz, and similar methods.
API Changes
-
New endpoint:
/biology/colabfold/msa-search/paired/predictfor paired/multimer MSA search -
New parameters for paired search:
sequences: List of protein sequences (one per chain)pairing_strategy: Cross-chain pairing mode (“greedy” or “complete”)unpack: Control output format (per-chain or combined)
-
Output format: Paired search always returns A3M format
New Features and Improvements
- Paired MSA search for protein complexes with 2+ chains
- Support for greedy and complete pairing strategies
- Per-chain or combined alignment output options
- Improved API documentation and examples