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MANET database: Art & Science

The Molecular Ancestry Network (MANET) database is a bioinformatics database that maps evolutionary relationships of protein architectures directly onto biological networks. It was originally developed by Hee Shin Kim, Jay E. Mittenthal and Gustavo Caetano-Anollés in the Department of Crop Sciences of the University of Illinois at Urbana-Champaign.

Language: English [EN]
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MANET database topic overview

The analysis highlights Art and Science as prominent areas in the source structure around MANET database.

Related topics
10
Source areas
1
Connected nodes
11
Concept neighborhoods
10
Bridge connections
11

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 10 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How MANET database connects Entity context

See recurring relationship patterns around MANET database before inspecting the individual extracted relationships.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

metabolic protein manet database metabolism enzymes evolution ancestry evolutionary phylogenetic network purine architectures directly onto networks example individual statistical pathways

MANET database relationships Subject–Predicate–Object triples

TTTA extracted structured relationships around MANET database. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc

Related concept clusters Concept neighborhoods

The concept neighborhoods around MANET database bring nearby vocabulary together. In this analysis, examples include Phylogenetic, Metabolic and Enzymes. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MANET database
    • Phylogenetic
    • Metabolic
    • Enzymes
    • Fold
    • Level
    • Metabolism
    • Database
    • Manet
    • Protein
    • Directly
    • Example
    • Links
  • manet database
    • Evolution
    • Phylogenetic
    • Metabolic
    • Enzymes
    • Fold
    • Level
    • Links
    • Metabolism
    • Molecular
    • Protein
    • Database
    • Manet
  • database
    • Evolution
    • Fold
    • Level
    • Links
    • Molecular
    • Protein
    • Manet
    • Metabolic
    • Network
    • Evolutionary
    • Bioinformatics
    • Biological
  • protein
    • Evolution
    • Enzymes
    • Metabolism
    • Analysis
    • Describing
    • Distribution
    • Fold
    • Folds
    • Level
    • Values
    • Kegg
    • Relationships
  • evolution
    • Fold
    • Level
    • Protein
    • Metabolism
    • Kegg
    • Scop
    • Manet
    • Metabolic
    • Analysis
    • Distribution
    • Example
    • Folds
  • bioinformatics
    • Biological
    • Maps
    • Relationships
    • Architectures
    • Directly
    • Molecular
    • Networks
    • Onto
    • Network
    • Evolutionary
    • Database
    • Protein
  • scop
    • Kegg
    • Describing
    • Fold
    • Level
    • Links
    • Pathways
    • Phylogenetic
    • Evolution
    • Database
    • Protein
    • Manet
    • Metabolic
  • kegg
    • Scop
    • Describing
    • Fold
    • Level
    • Links
    • Pathways
    • Phylogenetic
    • Evolution
    • Protein
    • Manet
    • Metabolic

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the MANET database map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

MANET database

Nodes12
Edges11
Triples0
Avg. degree1.83
Density0.166667
Components1

Source & methodology

TTTA analyzes the structure around MANET database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — MANET database · EN edition · Analysis: TopicsToTalkAbout

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