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The MetaCyc database is one of the largest metabolic pathways and enzymes databases currently available. The data in the database is manually curated from the scientific literature, and covers all domains of life. MetaCyc has extensive information about chemical compounds, reactions, metabolic pathways and enzymes. The data have been curated from more…
Science & Overview
Explore the main themes, entities and connections around MetaCyc. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
enzymes data metabolic pathways reactions database extensive used includes databases available curated literature information chemical compounds also provide well structures
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MetaCyc | Authors | R. Caspi, H. Foerster, C.A. Fulcher, L.A. Mueller, Peter Karp | 1.00 | infobox |
| MetaCyc | Description | Database of metabolic pathways and enzymes | 1.00 | infobox |
| MetaCyc | Primary citation | Caspi et al. (2014) | 1.00 | infobox |
| MetaCyc | Release date | 1997 | 1.00 | infobox |
| MetaCyc | Research center | SRI International | 1.00 | infobox |
| MetaCyc | Website | metacyc.org | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.