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ProtCID: Overview, Related Topics & Entities

The Protein Common Interface Database (ProtCID) is a database of similar protein-protein interfaces in crystal structures of homologous proteins.

Language: English [EN]
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ProtCID topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around ProtCID.

Related topics
6
Source areas
1
Connected nodes
7
Extracted relationships
7
Related term clusters
8
Bridge connections
7

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 · 6 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Authors
Qifang Xu, Roland Dunbrack
Description
Similar interactions of homologous proteins in multiple crystal forms
Laboratory
Institute for Cancer Research
Primary citation
Xu & Dunbrack (2011)
Release date
2010
Research center
Fox Chase Cancer Center

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ProtCID
6Protein-protein interaction · Protein crystallography · Sequence homology

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

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How ProtCID connects Entity context

The extracted context around ProtCID shows recurring relationship patterns in the source. For example, ProtCID → Qifang Xu, Roland Dunbrack Another extracted example is ProtCID → Similar interactions of homologous proteins in multiple crystal forms. Use these groups to spot repeated connection types before inspecting the individual relationships.

ProtCID

Top relations

Authors · 1
ProtCID → Qifang Xu, Roland Dunbrack
Description · 1
ProtCID → Similar interactions of homologous proteins in multiple crystal forms
Laboratory · 1
ProtCID → Institute for Cancer Research
Primary citation · 1
ProtCID → Xu & Dunbrack (2011)
Release date · 1
ProtCID → 2010
Research center · 1
ProtCID → Fox Chase Cancer Center
Website · 1
ProtCID → http://dunbrack2.fccc.edu/protcid

Important terminology

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

Important terminology

interfaces protein crystal proteins common interface pdb forms interactions contain entries also homologous homodimeric pfam different chain sequence pkinase cyclin

ProtCID relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around ProtCID. Examples in this analysis include ProtCID → Authors → Qifang Xu, Roland Dunbrack and ProtCID → Description → Similar interactions of homologous proteins in multiple crystal forms. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
ProtCIDAuthorsQifang Xu, Roland Dunbrack1.00infobox
ProtCIDDescriptionSimilar interactions of homologous proteins in multiple crystal forms1.00infobox
ProtCIDLaboratoryInstitute for Cancer Research1.00infobox
ProtCIDPrimary citationXu & Dunbrack (2011)1.00infobox
ProtCIDRelease date20101.00infobox
ProtCIDResearch centerFox Chase Cancer Center1.00infobox
ProtCIDWebsitehttp://dunbrack2.fccc.edu/protcid1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around ProtCID bring nearby vocabulary together. In this analysis, examples include Crystal, Forms and Interactions. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • protein-protein interfaces
    • Similar
    • Proteins
    • Structures
    • Protein
    • Homologous
    • Crystal
    • Multiple
    • Pisa
    • Architectures
    • Compared
    • Homodimeric
    • Protein-protein
  • crystal
    • Forms
    • Proteins
    • Homologous
    • Protcid
    • Interface
    • Multiple
    • Pisa
    • Protein-protein
    • Similar
    • Interfaces
    • Interactions
    • Protein
  • homologous proteins
    • Multiple
    • Protein-protein
    • Similar
    • Proteins
    • Forms
    • Interfaces
    • Pisa
    • Cluster
    • Goal
    • Heterodimeric
    • Identify
    • Main
  • protein data bank
    • Interfaces
    • Proteins
    • Chain
    • Protein-protein
    • Similar
    • Also
    • Homologous
    • Interactions
    • Crystal
    • Structures
    • Architectures
    • Compared
  • ProtCID
    • Crystal
    • Forms
    • Interactions
    • Proteins
    • Annotations
    • Biological
    • Pisa
    • Protein
    • Protein-protein
    • Similar
    • Also
    • Entries
  • protcid
    • Crystal
    • Forms
    • Interactions
    • Proteins
    • Annotations
    • Biological
    • Pisa
    • Protein
    • Protein-protein
    • Similar
    • Also
    • Entries
  • homodimeric
    • Heterodimeric
    • Identify
    • Main
    • Architectures
    • Chain
    • Compared
    • Multiple
    • Interfaces
    • Contain
    • Homologous
    • Forms
    • Proteins
  • pfam
    • Cyclin
    • Pkinase
    • Architectures
    • Chain
    • Compared
    • Domains
    • Sequence
    • Also
    • Contain
    • Entries
    • Protein

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

ProtCID

Nodes8
Edges7
Triples7
Avg. degree1.75
Density0.25
Components1

Source & methodology

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

Source: Wikipedia — ProtCID · EN edition · Analysis: TopicsToTalkAbout

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