DomainViz

DomainViz identifies and visualizes protein domains across multiple sequences to analyze domain conservation for functional annotation and evolutionary studies.


Key Features:

  • Monument valley plots (mv-plots): Generates mv-plots that display domain conservation along the dimensions of positionality and frequency of occurrence within input protein sequences.
  • Domain-ordering figures: Produces conventional domain-ordering figures that illustrate the arrangement and conservation of domains within protein sequences.
  • Integration with Pfam and Prosite: Leverages domain predictions from Pfam and Prosite for domain annotation.
  • High-throughput domain searches: Performs high-throughput domain searches across multiple proteins and groups to assess conservation.
  • Cross-family and cross-species analysis: Compares domain conservation within and between protein families and across species.

Scientific Applications:

  • Evolutionary analysis: Facilitates inference of evolutionary patterns based on domain conservation across proteins.
  • Functional annotation: Supports functional annotation of proteins through identification and mapping of domains.
  • Comparative domain analysis: Enables comparison of domain arrangements and conservation across protein families and species.
  • Interpretation of conservation metrics: Aids interpretation of positionality and frequency patterns of domains across input sequences.

Methodology:

Uses domain predictions from Pfam and Prosite, performs high-throughput domain searches, and generates monument valley plots (mv-plots) and conventional domain-ordering figures to represent positionality and frequency of domain occurrence.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Programming Languages:
Python, JavaScript
Added:
9/8/2021
Last Updated:
11/24/2024

Operations

Publications

Schläpfer P, Mehta D, Ridderikhoff C, Uhrig RG. DomainViz: intuitive visualization of consensus domain distributions across groups of proteins. Nucleic Acids Research. 2021;49(W1):W169-W173. doi:10.1093/nar/gkab391. PMID:34023887. PMCID:PMC8262717.

Links