Peptide Titans Research Database classifies every cited publication by evidence tier: the type of experimental model used. This is not a rating of “how well a peptide works.” It is a transparency layer so readers can see where in the research pipeline observations have been reported.
The tier system
| Tier | Typical models | What it represents |
|---|---|---|
| Cellular | Cell lines, primary cultures, organoids | Mechanistic or signaling observations in isolated cells. Useful for hypothesis generation; limited physiological context. |
| Animal | Rodent, large-animal, or other in vivo models | System-level effects in living organisms. Adds pharmacokinetic and tissue-context data; species differences apply. |
| Human | Observational studies, ex vivo human tissue, case series | Direct human data outside a controlled trial setting. Useful signals but often confounded. |
| Trial | Randomized or controlled clinical trials | Prospective human studies with defined endpoints. Highest structured human evidence; still peptide- and context-specific. |
| Review | Narrative or systematic reviews | Syntheses of existing literature. Summarize the field; do not generate new primary data. |
| Computational | In silico docking, MD simulation, QSAR | Prediction and modeling. Informative for target hypotheses; requires experimental validation. |
Why tiers are not a quality score
A peptide profile may show many cellular publications and few human trials. That pattern is common in early-stage research compounds — it reflects the state of the literature, not an endorsement or dismissal of the peptide.
Similarly, a high animal-study count does not translate to human efficacy. Cross-species metabolism, receptor expression, and dosing differ. Always read the tier label alongside the specific claim being cited.
How to use tiers when reading a profile
- Start with the distribution. The evidence bar on each peptide profile shows how many indexed publications fall into each tier.
- Drill into publications. Filter the publication list by tier to see which claims rest on which model type.
- Weigh context. A cellular angiogenesis assay and a rodent tendon-healing study answer different questions — both can be valid within their scope.
- Check for reviews. Review-tier entries help orient you to consensus and gaps but should be traced back to primary studies.
Important: Evidence counts describe research volume indexed in this database. They do not indicate proven efficacy, safety, regulatory status, or clinical consensus. Preclinical findings may not replicate in other models or in humans.
Common misconceptions
- “More evidence = proven drug.” Volume reflects research activity, not approval or validated clinical use.
- “Human tier means FDA-approved.” Human-tier includes observational and ex vivo work, not only approved therapies.
- “Animal data predicts human outcomes.” Animal models are hypothesis-supporting; they are an intermediate step, not a guarantee.