Release 2.3.0
Summary
This release adds support for the unknown residue X in query sequences, enabling MSA search on sequences containing ambiguous or unresolved amino acids.
New Features
Unknown Residue (X) Support
Release 2.2.0
Summary
This release introduces a dedicated Structural Template Search endpoint for finding homologous protein structures, case-insensitive database name matching, along with bug fixes and documentation improvements.
New Features
Structural Template Search
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
Release 2.0.0
Summary
This release represents a major update to the MSA Search NIM, featuring significant performance improvements and streamlined database management. The GPU Server is now enabled by default, providing better out-of-the-box performance with the included ColabFold databases. This release also includes an upgrade to MMSeqs2 version 18, enhanced stability, and expanded hardware support.
Release 1.0.0
Summary
This is the first release of MSA Search NIM. MSA Search enables accurate protein structure prediction from an input protein sequence by predicting potential structural similarities with previously-observed proteins.
This NIM is not a deep learning model but makes use of NVIDIA GPUs and software libraries for accelerated multiple sequence alignment. The NIM relies on GPU-accelerated MMSeqs2 to provide fast, accurate sequence database search and multiple sequence alignment.