Multi-scale structural similarity embedding search across entire proteomes.

Key Points

• This research aims to develop a method for searching structural similarities within entire proteomes.
• Developed an embedding search technique
• Analyzed multiple scales of structural similarity
• Utilized bioinformatics tools for data processing
• Demonstrated effective identification of structural similarities
• Improved search efficiency across large proteome datasets
• Provided a new framework for bioinformatics analysis