In This Guide
What Is the Synergy Map?
The Compound Review Synergy Map is an interactive network visualization of the mechanistic relationships between all 40 research peptides in the library. It is built from a systematic review of co-administration studies, mechanism overlap analyses, and receptor pharmacology data drawn from primary literature.
The map solves a specific problem: when you are designing a multi-compound research protocol, it is difficult to hold the full interaction landscape in mind. Which compounds share the same receptor? Which ones address complementary pathways? Which combinations have documented co-administration data, and which are purely theoretical? The Synergy Map makes these relationships visible at a glance.
Unlike a simple compatibility table, the map encodes relationship strength (edge thickness), relationship type (color), and compound category (node color) simultaneously — giving you a richer picture of the interaction landscape than any flat table can provide.
How to Read the Visualization
Nodes = Compounds
Each circle represents a single compound. Node color indicates category (green = recovery, blue = growth, amber = longevity, etc.). Node size reflects the number of documented relationships.
Edges = Relationships
Lines between nodes represent documented relationships. Green = synergistic, blue = complementary, amber = potentially redundant. Edge thickness reflects relationship strength.
Click to Explore
Click any node to highlight its direct connections and see a summary panel with the compound's mechanism, evidence tier, and relationship notes.
Filter & Search
Filter by category or relationship type. Search for a specific compound to isolate its network. Use the cluster view to see the four major interaction groups.
Synergy vs. Complementarity: The Key Distinction
The map distinguishes between two types of positive relationships that are frequently conflated in the research community.
Synergy (Green Edge)
The combined effect is measurably greater than the sum of individual effects. Requires at least one co-administration study or strong mechanistic evidence of pathway amplification.
Example: BPC-157 + TB-500
BPC-157 drives local angiogenesis; TB-500 drives systemic cell migration. Both are required for complete tissue repair — neither alone addresses the full process.
Complementarity (Blue Edge)
The compounds address different aspects of the same biological goal without documented additive effect. The combination is mechanistically logical but the magnitude of benefit is less certain.
Example: NAD+ + SS-31
NAD+ restores cellular energy metabolism; SS-31 protects the mitochondrial membrane. Both support mitochondrial function but via distinct, non-overlapping mechanisms.
Redundancy / Competition (Amber Edge)
The compounds act on the same receptor or pathway. Combining them may produce receptor competition, desensitization, or simply diminishing returns. This does not mean the combination is harmful — but it is unlikely to be synergistic. Example: CJC-1295 + Sermorelin (both are GHRH analogs competing for the same receptor).
The 4 Major Interaction Clusters
The Synergy Map naturally organizes into four densely connected clusters, each anchored by a primary synergistic pair.
Tissue Repair Hub
The most densely connected cluster on the map. BPC-157 and TB-500 are the anchor pair; GHK-Cu extends the network into collagen synthesis and anti-inflammatory signaling.
Growth Hormone Axis
Five compounds connected by GH axis modulation. CJC-1295/Ipamorelin is the primary synergistic pair; IGF-1 LR3 sits downstream and can be stacked as a cascade amplifier.
Longevity Network
A loosely connected cluster with complementary (not synergistic) relationships. Each compound targets a different aspect of cellular aging — telomere length, NAD+ metabolism, mitochondrial membrane integrity, and antioxidant status.
Cognitive & Neuro
Semax and Selank are the primary synergistic pair (BDNF upregulation + anxiolytic GABA modulation). Dihexa is a standalone with HGF/c-Met activity — complementary to both but with limited co-administration data.
How to Use the Map for Protocol Design
The Synergy Map is most useful as a starting point for protocol design — not a final authority. Here is the recommended workflow:
Identify your research goal
Start with a biological objective (tissue repair, GH axis optimization, longevity, cognitive enhancement). Filter the map by the relevant category to see which compounds are available.
Find the primary synergistic pair
Look for the thickest green edge within your target cluster. This is the most evidence-supported combination for your goal. Start here before adding additional compounds.
Extend with complementary compounds
Once you have a primary pair, look for blue edges extending from either node. These represent complementary compounds that address aspects of your goal not covered by the primary pair.
Check for amber edges
Before finalizing, check whether any of your selected compounds have amber edges between them. If so, consider whether the redundancy is worth the added complexity.
Move to the Stack Builder
Once you have identified your compounds from the Synergy Map, move to the Stack Builder to lay out a study plan with timing, duration and reconstitution notes.
Source Your Compounds from Purgo Labs
Every compound on the Synergy Map is available from Purgo Labs — ≥99% purity, third-party COA verified, and shipped in research-grade packaging. Use code HEALTH for 20% off your first order.
Shop Purgo Labs — Use Code HEALTH for 20% OffFrequently Asked Questions
What is the Compound Review Synergy Map?
The Synergy Map is an interactive visualization tool that displays the known interaction and synergy relationships between all 40 research peptides in the Compound Review library. Each node represents a compound; edges between nodes represent documented mechanistic relationships — synergistic, complementary, or potentially redundant. The map is built from primary literature and updated as new research is published.
What does 'synergy' mean in the context of peptide research?
In peptide research, synergy refers to a combined effect that exceeds what each compound produces individually. True pharmacological synergy requires that two compounds act on distinct but functionally connected pathways. For example, BPC-157 and TB-500 are considered synergistic because BPC-157 drives local angiogenesis while TB-500 promotes systemic cell migration — both are required for complete tissue repair, and neither alone addresses the full process.
How do I read the Synergy Map?
Nodes (circles) represent individual compounds, color-coded by category (recovery, growth, longevity, etc.). Edges (lines) between nodes represent relationships: green edges indicate documented synergy, blue edges indicate complementary mechanisms, and amber edges indicate potential redundancy or competition. Thicker edges represent stronger or more frequently cited relationships. Click any node to see its full relationship profile.
What is the difference between synergy and complementarity on the map?
Synergy (green) means the combination produces a measurably greater effect than either compound alone — supported by at least one co-administration study or strong mechanistic evidence. Complementarity (blue) means the compounds address different aspects of the same biological goal without documented additive effect — the combination is logical but the magnitude of benefit is less certain.
Can I filter the Synergy Map by category?
Yes. The map supports filtering by compound category (recovery, growth, longevity, metabolic, cognitive, immune, sexual health, skin/anti-aging) and by relationship type (synergistic, complementary, redundant). You can also search for a specific compound to highlight its direct connections.
Does the Synergy Map show negative interactions?
The map displays potential redundancy and competition signals (amber edges), which represent cases where two compounds act on the same receptor or pathway and may produce diminishing returns or receptor desensitization when combined. For full pharmacokinetic conflict data, use the Interaction Checker tool alongside the Synergy Map.