POLYVIEW-2D
POLYVIEW-2D generates two-dimensional graphical representations of protein sequences and structures annotated with secondary structure, relative solvent accessibility, functional motifs, and polymorphic sites to support analysis of protein structure and function.
Key Features:
- Sequence Annotations: Generates annotations of secondary structure, relative solvent accessibility, functional motifs, and polymorphic sites for protein sequences and structures.
- Customizable Visualizations: Produces customizable two-dimensional graphical representations applicable to experimentally determined and predicted protein structures.
- Integration with Prediction Servers: Integrates data from protein structure prediction servers to visualize predicted models alongside experimentally determined structures.
- Automated Generation: Automatically generates annotated image files for downstream analysis and dissemination.
- Input Types: Processes both protein sequences and protein structures as input.
Scientific Applications:
- Protein Structure Analysis: Supports analysis of protein folding and stability by visualizing secondary structure and solvent accessibility annotations.
- Functional Motif Identification: Highlights functional motifs within proteins to support studies of protein function and interactions.
- Evolutionary Studies: Annotates polymorphic sites to support studies of evolutionary conservation and variation.
Methodology:
Processes input protein sequences or structures to compute annotations (secondary structure, relative solvent accessibility, functional motifs, polymorphic sites) and generate two-dimensional annotated visualizations, integrating data from protein structure prediction servers and experimentally determined structures.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Porollo AA, et al. POLYVIEW: a flexible visualization tool for structural and functional annotations of proteins. Bioinformatics. 2004; 20:2460-2. doi: 10.1093/bioinformatics/bth248