How We Build Content

Transparency in how we source, verify, and organize peptide research.

Citation Verification

Every research paper cited on PeptideWiki is automatically verified against the National Library of Medicine's PubMed database. Papers that cannot be verified are automatically rejected.

Our system cross-checks each paper's PubMed ID (PMID) against the live NLM API, comparing titles with a similarity threshold to catch mismatches. This runs on every paper import and every content update.

4502
Total Papers
3948
PubMed Verified
54
Peptides Covered
3826
With DOI

Papers by Study Type

Other(1365)Animal Study(1341)Clinical Trial(682)Meta-Analysis(321)In Vitro(283)Case Report(280)Review(230)

Our Process

1

Peer-Reviewed Sources

Peptide profiles, mechanisms of action, and safety data are compiled from peer-reviewed journals indexed in PubMed and clinical trial registries.

2

Direct Citations

Every research paper links directly to its PubMed entry or ClinicalTrials.gov record. You can always verify the source yourself.

3

NLM Study Classification

Study types (Clinical Trial, Meta-Analysis, Animal Study, In Vitro, Review, Case Report) are classified using the National Library of Medicine's own publication type metadata.

4

Anecdotal Data Labeled

Community experiences are clearly separated from research data and explicitly labeled as anecdotal. We never mix user reports with peer-reviewed evidence.

Our Principles

Evidence-Based

All content is grounded in published research. We cite specific studies behind every claim and label the study type so you know the strength of the evidence.

No Vendor Bias

We don't sell peptides. Commercial sourcing and vendor discussion is prohibited on our platform.

No Hype, No Fear

We present findings honestly, including limitations and when evidence is preliminary. If most research is in animal models, we say so.

Accessible

Complex pharmacology explained in plain language without oversimplification.

Continuously Updated

Content is revised as new research is published. Our automated PubMed integration incorporates the latest studies.

Corrections

If you find an error — an incorrect citation, outdated information, or a factual inaccuracy — email hello@peptidewiki.co with the page URL, the specific error, and a source if available.