What problem does it solve?
RCSB PDB information and structure files are difficult to locate, filter, and retrieve accurately across thousands of entries, which slows down protein engineering, structural biology, and drug discovery workflows.
Core Features & Use Cases
- Structure Search (text/attributes/sequence/3D similarity): Find relevant PDB entries by keywords, organism or experimental attributes, sequence similarity, or structural similarity for downstream analysis.
- Metadata Retrieval (quality, experimental method, resolution, dates): Pull entry-, entity-, and assembly-level details needed to judge dataset suitability and reproducibility.
- Coordinate Download (PDB/mmCIF/BinaryCIF/assemblies): Download coordinates and assembly files for computational modeling, alignments, and structure-based comparisons.
Use Case: You want high-resolution human protein structures for modeling a binding site; you can search by organism and resolution, download the best candidates in mmCIF/PDB, and retrieve experimental method and quality metrics for selection.
Quick Start
Ask the AI to search RCSB PDB for Homo sapiens protein structures with resolution under 2.0 Å, then download the top 10 entries in mmCIF and return each entry’s title and experimental method.