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Scientific Background
The Capsaicin Pathway
While Ji et al. (2007) investigated cis-regulatory elements associated with capsaicinoid biosynthesis, the proposed capsaicin pathway itself serves as a representative Chemantics use case. Metabolites, enzymes, genes, and biochemical reactions can be represented as semantic entities and relationships within a knowledge graph, enabling pathway-centric search, knowledge integration, and automated discovery of biologically relevant connections.
Ji, T., Ranjan, D., O'Connell, M. and Zhang, J. (2007) ‘Computational Identification of Cis-regulatory Elements Associated with Pungency of Chili Peppers’, in Proceedings of the 2007 IEEE 7th International Symposium on Bioinformatics and Bioengineering (BIBE 2007). Piscataway, NJ: IEEE. doi:10.1109/BIBE.2007.4375713.
Phenylpropanoid Pathway
Branched-Chain Fatty Acid Pathway
This capsaicin biosynthesis pathway is used as a Chemantics use case. The pathway's metabolites, enzymes, genes, and reactions are modeled as semantic entities and relationships, enabling knowledge graph construction, pathway exploration, and integration with related biological and chemical data.
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Reaction Data Integration Workflow
Reaction schemes from the published pathway are entered or imported into Chemantics and assigned unique reaction identifiers. This is the primary manual step in the workflow. Once reactions have been captured, Chemantics automatically identifies shared compounds and establishes connections between reactions stored in the system.
Published
Pathway
Drawn Process Step (Chemantics)
Assigned ID
RP-1
RP-2
RP-3
RP-4
RP-5
Reaction Data Integration Workflow
Generated Phenylpropanoid Pathway
Chemantics automatically generates this pathway view by identifying relationships among reactions captured in the system. Reactions sharing compounds and intermediates are linked to create a connected representation of the pathway, enabling users to move from individual reaction records to pathway-level views.
Full Capsaicin Pathway
As additional reactions are added to Chemantics, the generated pathway expands automatically. Connected reactions are assembled into a larger network based on shared compounds and intermediates contained within the knowledge graph.
Knowledge Graph Exploration
Once reactions have been captured and assigned identifiers, Chemantics automatically creates links between reactions that share compounds or intermediates. The resulting knowledge graph can then be explored from multiple perspectives, including pathway-focused views and reaction-centric navigation.
Additional pathway connections identified through integrated pathway knowledge.
The orange nodes represent alternative reaction paths leading to vanillin that become discoverable once the pathway knowledge is connected and searchable.
By connecting reaction processes across the generated pathway knowledge graph, Chemantics exposes additional routes and relationships that are difficult to identify when reactions are viewed in isolation. In this example, the orange nodes highlight alternative pathways leading to vanillin that become accessible through semantic navigation of the connected knowledge model. Researchers can move beyond individual reactions and explore how compounds participate in multiple biological and synthetic contexts.
Supporting literature describing alternative synthetic routes to vanillin.
Vanillin is a key intermediate in the capsaicin biosynthetic pathway and can also be obtained from natural sources such as vanilla beans. Industrial vanillin production commonly relies on synthetic routes from guaiacol or eugenol, which are typically derived from fossil-based feedstocks. The literature routes shown here provide additional reaction knowledge that can be linked to the pathway model, enabling pathway extension, knowledge reuse, and broader exploration of reaction alternatives.
The identified pathway connections can be validated and enriched using information from the scientific literature. Here, published synthetic routes to vanillin provide supporting evidence for the additional connections highlighted in the knowledge graph. By linking pathway knowledge with literature-derived reaction knowledge, Chemantics establishes traceable connections between experimental evidence, reaction processes, and pathway models.
Literature-derived routes linked to the generated pathway, enabling pathway extension and knowledge reuse.
Once incorporated into the connected knowledge model, literature-derived reaction pathways become part of the broader reaction knowledge landscape. Researchers can explore how newly identified routes connect to existing pathway knowledge, discover alternative production strategies, and reuse previously captured scientific knowledge across projects. The resulting network provides a continuously expanding foundation for pathway exploration, scientific discovery, and AI-assisted research.
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Summary
In this example, reactions from the capsaicin biosynthetic pathway were captured in Chemantics and assigned unique identifiers. Chemantics then automatically linked reactions sharing common compounds, creating a connected knowledge graph that supports pathway exploration, reaction discovery, and scientific analysis.
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