RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition support
Motivation: Structural Biologists have contributed more than 245,000 experimentally determined three-dimensional structures of biological macromolecules to the Protein Data Bank (PDB). Incoming data are validated and biocurated by ~20 expert biocurators across the wwPDB. RCSB PDB biocurators who process more than 40% of global depositions face increasing challenges in maintaining efficient Help Desk operations, with approximately 19,000 messages in approximately 8,000 entries received from depositors in 2025. Results: We developed an AI-powered Help Desk using Retrieval-Augmented Generation (RAG) built on LangChain with a pgvector store (PostgreSQL) and GPT-4.1-mini. The system employs py...
| Authors | Vivek Reddy Chithari, Jasmine Y. Young, Irina Persikova et al. |
|---|---|
| Primary category | cs.IR |
| Published | 13 April 2026 |
| Last updated at source | 13 April 2026 |
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