Dear community,

We are excited to announce that the RCSB Protein Data Bank has recently 
introduced a new feature that allows you to define searches by uploading your 
own experimental data files or Computed Structure Models.

This feature is particularly useful for those working with AlphaFold2 or 
ESMfold predictions, homology models, molecular dynamic trajectories, and 
previously unpublished structures. Various file formats such as .cif, .pdb, 
.ent, and gzipped (.gz) files are supported, enabling you to quickly and easily 
analyze your data and screen the whole PDB archive for structural similarity. 
Searching in 1 million Computed Structure Models from AlphaFold DB and 
ModelArchive is available as well.

By switching to the "File Upload" mode in the Advanced Search Structure 
Similarity <https://www.rcsb.org/search/advanced/structure> and Structure Motif 
<https://www.rcsb.org/search/advanced/strucmotif> options, you can use 
RCSB.org's novel method to detect similarity between protein shapes of any 
size. The system assesses global 3D-shape similarity using BioZernike 
descriptors, enabling you to find structures whose volumes are globally similar 
to your query structure.

The Structural Motif option is also available, which allows you to search for 
structures containing specific amino acids in a characteristic local 
arrangement. This feature is particularly useful for gaining insights into 
protein function and evolution by searching for active or ligand binding sites. 
Queries can be conveniently defined using RCSB.org’s Mol* 3D Viewer.

To access these features, simply upload your data and start exploring. The 
search results are accessible through a unique URL for 90 days, allowing you to 
share and bookmark your findings with colleagues.

For more detailed instructions, please refer to the user guide documentation 
available on RCSB.org 
(https://www.rcsb.org/docs/search-and-browse/advanced-search/structure-similarity-search#query-for-structures-not-available-from-rcsborg
 and 
https://www.rcsb.org/docs/search-and-browse/advanced-search/structure-motif-search#uploading-your-own-local-file).
 We hope this new feature will be valuable to your research and we look forward 
to seeing the scientific discoveries that come from it.

Kind regards,
Sebastian Bittrich
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