**
Dear all,
We are pleased to share the release ofPDBe-SIFTS for protein
sequence–structure mapping, the first open-source implementation of the
SIFTS framework for residue-level mapping between protein sequences and
their corresponding structures.
SIFTS has been a key resource for integrating protein sequence and
structural data across a broad range of biological and bioinformatics
resources for over two decades. This release makes the core SIFTS
mapping workflow openly available as a locally deployable Python
package, enabling users to generate, inspect, and extend protein
sequence-to-structure mappings for both public and custom datasets.
The updated implementation includes:
Faster archive-scale sequence searches using MMseqs2
Improved candidate ranking and mapping accuracy
Structurally informed residue-level refinement
Command-line tools and notebook-based local workflows
News article:
https://www.ebi.ac.uk/about/news/updates-from-data-resources/sifts-protein-sequence-structure-mapping/
https://www.ebi.ac.uk/about/news/updates-from-data-resources/sifts-protein-sequence-structure-mapping/
BioRxiv manuscript: https://doi.org/10.64898/2026.04.30.721839
https://doi.org/10.64898/2026.04.30.721839
GitHub / software release: https://github.com/PDBeurope/SIFTS/
https://github.com/PDBeurope/SIFTS/
We would appreciate your feedback and would be grateful if you could
share this update with relevant colleagues, collaborators, and
communities who may benefit from this software package.
Best regards,
Deborah Harrus
--
Deborah Harrus, Ph.D.
PDBe Archive Project Leader, Biocuration Lead
Protein Data Bank in Europe
European Bioinformatics Institute (EMBL-EBI)
European Molecular Biology Laboratory
Wellcome Trust Genome Campus
Hinxton
Cambridge CB10 1SD UK
**
*Dear all,*
*
We are pleased to share the release ofPDBe-SIFTS for protein
sequence–structure mapping, the first open-source implementation of the
SIFTS framework for residue-level mapping between protein sequences and
their corresponding structures.
SIFTS has been a key resource for integrating protein sequence and
structural data across a broad range of biological and bioinformatics
resources for over two decades. This release makes the core SIFTS
mapping workflow openly available as a locally deployable Python
package, enabling users to generate, inspect, and extend protein
sequence-to-structure mappings for both public and custom datasets.
The updated implementation includes:
*
Faster archive-scale sequence searches using MMseqs2
*
Improved candidate ranking and mapping accuracy
*
Structurally informed residue-level refinement
*
Command-line tools and notebook-based local workflows
News article:
https://www.ebi.ac.uk/about/news/updates-from-data-resources/sifts-protein-sequence-structure-mapping/
<https://www.ebi.ac.uk/about/news/updates-from-data-resources/sifts-protein-sequence-structure-mapping/>
BioRxiv manuscript: https://doi.org/10.64898/2026.04.30.721839
<https://doi.org/10.64898/2026.04.30.721839>
GitHub / software release: https://github.com/PDBeurope/SIFTS/
<https://github.com/PDBeurope/SIFTS/>
We would appreciate your feedback and would be grateful if you could
share this update with relevant colleagues, collaborators, and
communities who may benefit from this software package.
Best regards,
Deborah Harrus
*
--
-------------------------------------------------------------------
Deborah Harrus, Ph.D.
PDBe Archive Project Leader, Biocuration Lead
Protein Data Bank in Europe
European Bioinformatics Institute (EMBL-EBI)
European Molecular Biology Laboratory
Wellcome Trust Genome Campus
Hinxton
Cambridge CB10 1SD UK
http://www.PDBe.org
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