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Peptide Half-LifePowered by Peptide Library

Research methodology

How Peptide Half-Life selects, grades and reviews half-life values: the source hierarchy, conflicting estimates, uncertainty, missing data, update checks and the assumptions of the model.

Last reviewed 2026-11-08 · Sources cited for every value

Source hierarchy

  1. 1

    Official prescribing information

    Current FDA prescribing information (section 12.3) from DailyMed, or another regulator’s product information when no US label exists.

  2. 2

    Peer-reviewed human pharmacokinetic study

    Human studies that measured the compound in plasma and report a half-life with their design and population.

  3. 3

    Registered clinical trial results

    Results posted to a trial registry, or regulator reviews of trial data, with enough detail to know what was measured.

  4. 4

    Other primary research

    Other primary research, such as FDA reviewer documents summarizing an application’s pharmacology.

  5. 5

    Nonclinical study

    Animal or laboratory studies, always labelled with the species and never shown as a human value.

Secondary sources (reviews, databases, vendor pages, encyclopedias) are never used as a value's source, even when they repeat a primary figure. If the primary source can't be read, the value isn't published.

Conflicting estimates and uncertainty

Never averaged

Different labels, populations and studies are separate records. Where they disagree, a note says so (for example, Mounjaro vs Zepbound, or two tesamorelin formulations).

Ranges and bounds as reported

A reported range is drawn as a band around its midpoint. A value given only as an upper bound (“less than 3 hours”) is shown as text and never drawn.

Routes and formulations matter

The same ingredient can behave differently by product: oral and injected semaglutide share a half-life but not absorption. Values are never carried across routes, formulations or species.

Missing data

When no qualified human value exists, the page says “Half-life not reliably established” and explains the gap. Numbers are never filled in by estimation or AI.

Evidence quality

Each record carries a quality grade based on how much the value can be leaned on:

  • High — regulatory label values from a full clinical pharmacology program.
  • Moderate — label values with limited detail, controlled human studies of reasonable size, or regulator reviews.
  • Low — small studies, values read from an abstract only, or animal data.
  • Very low — reserved for single, poorly reported measurements; not currently used.

Editorial review checks

  • The value, unit and range match the source exactly, and the source’s own term is recorded.
  • Species, population, route, formulation and single- or repeated-administration context are recorded from the source.
  • The source has a stable identifier (DailyMed SetID, PMID, DOI or NCT number) on a regulatory or scholarly host.
  • Abstract-only readings are flagged in the record notes.
  • No text quotes an amount or a frequency of administration; automated tests block it.
  • The record is marked reviewed with a verification date; drafts never reach a page.

Values are re-checked when a label is revised and at least every six months; regulatory status is re-checked at every review. Each record shows its last verification date, and every value is listed on the sources page.

The mathematical model

Charts use R(t) = 100 × 2^(−t / t½), the idealized percentage of a starting reference amount remaining after time t under single-compartment, first-order elimination. When a source gives a range, the curve uses its midpoint and a band shows the range.

The curve is an idealized first-order elimination model. It is a mathematical illustration of what a half-life means, not a medical prediction. It does not model:

  • Patient-specific pharmacokinetics
  • Drug absorption from the site of administration
  • Multi-compartment distribution
  • Active metabolites
  • Receptor occupancy
  • How long a clinical effect lasts
  • Individual blood concentrations
  • Drug interactions
  • Changes in kidney or liver function