GLP-1 Family
Semaglutide
GLP-1 receptor agonist
A long-acting GLP-1 receptor agonist extensively studied in metabolic and appetite-regulation research.
THE OPEN COMPOUND LIBRARY
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85compound profiles
10research categories
163linked references
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01
GLP-1 Family
Glucagon-like peptide-1 receptor agonists studied for metabolic research.
12 compounds
02
Growth & GH-Axis
Peptides studied for their interaction with the growth-hormone axis.
13 compounds
03
Healing & Recovery
Peptides studied in tissue-repair and recovery research.
8 compounds
04
Cognitive & Nootropic
Peptides studied for cognitive and neurological research.
10 compounds
05
Longevity & Cellular
Peptides studied in cellular-aging and longevity research.
7 compounds
06
Cosmetic & Dermal
Peptides studied in dermatological and cosmetic research contexts.
8 compounds
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Healing & Recovery
BPC-157
Synthetic pentadecapeptide
A 15-amino-acid synthetic peptide fragment studied for its purported role in tissue-repair research.
GLP-1 Family
Tirzepatide
Dual GIP/GLP-1 receptor agonist
A dual GIP/GLP-1 receptor agonist of significant interest in metabolic peptide research.
Cosmetic & Dermal
GHK-Cu
Copper-binding tripeptide
A copper-binding tripeptide studied in dermal-research and tissue-remodeling contexts.
Metabolic & Mitochondrial
MOTS-c
Mitochondrial-derived peptide
A mitochondrial-derived peptide studied in metabolic regulation and exercise research.
GLP-1 Family
Retatrutide
Triple GIP/GLP-1/glucagon receptor agonist
A GIP/GLP-1/glucagon receptor agonist with body-weight and liver-fat outcomes reported in the cited phase 2 clinical studies.
Reference counts describe our linked sources, not evidence strength. Learn how to read the evidence → Search the publication index →
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RECENTLY ADDED
More to be curious about.
Six additions spanning metabolic, bone and gastrointestinal research.
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What can I research on PeptiDex?
Explore 85 peptide, compound and research-solution profiles organized by class, mechanism, research context and linked references. Use the explorer to find a compound and compare its profile with related entries.
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A reference count tells you how many sources are attached to a profile, not how strong the evidence is. Read the study setting, population and limitations before drawing conclusions.
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