About PeptidesDB
PeptidesDB is an evidence-based reference library for research peptides. It aggregates studies from peer-reviewed databases, attaches AI-generated summaries with explicit source citations, and overlays community-contributed effect data — all in one open, free interface.
How content is sourced
The Librarian — an automated pipeline running on this site — pulls new study metadata daily from PubMed (NCBI E-Utilities), Semantic Scholar (paper search API), and ClinicalTrials.gov. Each ingested record is deduplicated, classified by evidence type (human / animal / cellular / review), and stored with its original publication date and the date it was added to the library.
Role of AI
AI (currently OpenAI GPT-4o-mini) is used for three tasks: (1) summarizing study abstracts into 2–4 sentence takeaways, (2) extracting structured fields like dose, sample size, and trial phase, and (3) discovering trending peptides from community sources. AI does not author original primary content, set effect scores in isolation (community votes are blended in), or replace the original study link — every AI summary is shown alongside a direct citation to the source.
Recent AI activity is publicly auditable on the Librarian activity feed. Cost limits gate the daily AI budget; runaway spend is blocked automatically.
Editorial policy
- Cite the source. Every study card links to its original journal / database record. Cite the primary source in your own work, not PeptidesDB.
- No medical advice. Content is research-reference only. Peptides discussed here are research compounds; nothing on this site is a recommendation for personal use, diagnosis, or treatment.
- No paid placement. Vendors are listed for transparency. Inclusion is not endorsement. We do not accept paid rankings.
- Corrections. If a study summary misrepresents the underlying paper, open an issue on GitHub or email the address below.
Contact
Questions, corrections, partnerships: hello@peptidesdb.com.