ProFeatMap

ProFeatMap visualizes protein feature architectures by generating customizable two-dimensional maps of domains, repeats, disordered regions, and post-translational modifications (PTMs) to enable comparative analysis across lists of proteins.


Key Features:

  • Customizable 2D Mapping: Generates two-dimensional maps that display protein features such as domains, repeats, disordered regions, and post-translational modifications (PTMs) along sequence coordinates.
  • Integration with Established Databases: Retrieves annotated features from UniProt and InterPro.
  • User-Defined Protein Lists: Accepts input lists of proteins specified by UniProt accession codes.
  • Feature Allocation with Shapes and Colors: Assigns distinct shapes and colors to different features, which can be customized based on quantitative or qualitative data.
  • Sorting by Homologous Features: Sorts proteins according to homologous feature content to facilitate classification of large protein families.
  • Publication-Quality Output: Produces high-resolution maps suitable for publication.

Scientific Applications:

  • Exploration of Protein Families: Enables exploration of large protein families to identify shared and divergent features.
  • Insight into Feature Patterns: Aids identification of recurrent patterns or redundancies in protein feature architectures.
  • Facilitation of Comparative Studies: Supports comparative analyses of feature architectures across proteins.

Methodology:

Users provide UniProt accession codes; annotated features are retrieved from UniProt and InterPro and rendered as customizable two-dimensional maps with shape and color encodings and optional sorting by homologous feature content.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
9/15/2023
Last Updated:
11/24/2024

Operations

Publications

Bich G, Monsellier E, Travé G, Nominé Y. ProFeatMap: a highly customizable tool for 2D feature representation of protein sets. Bioinformatics Advances. 2023;3(1). doi:10.1093/bioadv/vbad022. PMID:36936371. PMCID:PMC10023195.

Links