49 Peptides with Dosing Data & PK Curves: Protocol Catalog Guide
Research on peptides exists scattered across medical journals, Reddit threads, and anecdotal forums—inconsistent, contradictory, and impossible to verify. Users cobble together dosing information from multiple sources, unsure of cycling protocols, half-lives, or why one compound peaks at 2 hours and another at 8. This uncertainty leads to suboptimal protocols and missed opportunities.
Protocol's Catalog consolidates 49 research-backed compounds into one unified reference with dosing data, pharmacokinetic curves, cycling recommendations, and clinical context. This walkthrough shows you how to discover compounds, evaluate them with PK curve visualization, and make data-informed decisions about what to track next.
The Catalog organizes 49 peptides and research compounds across seven categories: Healing (BPC-157, TB-500), Weight Loss (GLP-1, Retatrutide), Growth Hormone (CJC-1295, Ipamorelin), Cognitive (Cerebrolysin, DSIP), Cosmetic (GHK-Cu, Thymosin Alpha 1), Immune, and Hormone. Filter by category or search by name.
Each compound card displays name, category tag, short description, typical dose range, administration frequency, and use-case tags at a glance. You see whether cycling is recommended before tapping in.
Tap any compound to open the full detail page. You get typical dosing range and frequency, half-life, administration route, cycling protocol with clinical context, common use tags for cross-referencing, and a Notes section surfacing critical practical information. For example, Cerebrolysin notes that it is a premixed solution requiring no reconstitution, administered IM or IV, and approved in over 40 countries but not FDA-approved.
Two action buttons keep discovery connected to tracking. Add to My Inventory takes a compound straight into your active tracking stack. Add to My Catalog saves it for reference without committing to tracking yet—useful for compounds you're researching but not ready to run.
The PK Curve visualization shows estimated blood concentration over time based on published pharmacokinetic parameters. Model 1, 2, 4, 8, or 12 doses to see how the compound accumulates with repeated dosing. Toggle between simplified decay and daily dosing views. The data table below shows peak concentration, time to peak, trough, and average—precision details that shape your timing and dosing intervals.
The AI Research Assistant appears on every compound page. Ask about side effects, stacking options, half-life, or practical concerns. Responses are structured and scoped to that specific compound, with an option to add it to your catalog directly from the chat.
The Catalog covers beyond injectables. Small molecules like 5-Amino-1MQ show cycling recommendations and notes covering oral capsule form and common stacking companions. This reflects what serious optimizers actually run. The Catalog bridges the gap between isolated dose logging and informed protocol design—every compound backed by dosing data and PK visualization.
⚡Key Takeaways
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49 compounds organized by use-case categories (Healing, Weight Loss, Growth Hormone, Cognitive, Cosmetic, Immune, Hormone) eliminate blank-page paralysis—each card surfaces dose range, frequency, and cycling recommendations at a glance, with full details one tap away.
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PK curve visualization models 1 to 12 repeated doses to show compound accumulation over time—users see peak concentration, time-to-peak, trough, and average values, enabling informed decisions about dosing intervals and timing relative to other compounds.
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Cycling protocol recommendations with clinical context (e.g., '4 weeks on, 4 weeks off' with reasoning) guide protocol structure—prevents unnecessary guessing about whether compounds need cycling or can run continuously.
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Notes surface critical practical information (reconstitution requirements, regulatory status, route options, solubility, common stacking companions)—details that separate viable protocols from logistically flawed ones before you commit compounds to inventory.
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