Register for the July 30 on RCSB PDB’s AI-Powered 3D Structure Similarity SearchWant to find structures that share a similar 3D shape? RCSB PDB's 3D Structure Similarity Search has been redesigned to deliver faster and more scalable structural comparisons across experimentally determined and predicted Computed Structure Models (CSMs).
This tool helps users more effectively identify structurally-related and distant homolog macromolecules.
The 3D similarity search uses machine learning–based embeddings to represent macromolecular structures in a high-dimensional vector space. Combined with vector databases, this approach enables efficient comparison of 3D structures at scale and improves sensitivity to 3D structural similarity, making it well-suited for exploring large collections of predicted models alongside experimentally determined structures.
After the webinar, users will be able to:
- Understand how the FoldMatch was trained for structural similarity searching
- Find structurally similar structures at RCSB.org
- Use RCSB.org tools to visualize 3D structural similarity
The webinar is intended for:
- Bioinformatics and/or structural biology researchers
- Graduate students and postdoctoral scholars in biological sciences
- Anyone interested in learning more about RCSB.org
Join Dr. Joan Segura for Using the AI-Powered 3D Structure Similarity Search at RCSB.org on
Thursday July 30, 2026
noon - 1pm Eastern | 9am - 10am Pacific.
Please register for this free event. An institutional email address for registration is preferred.
You will receive confirmation and a Zoom link by email before the event.
RCSB PDB Structure Similarity Search
