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
Repository
https://github.com/profeatmap/ProFeatMap