Jpred 3
Jpred 3 predicts protein secondary structure and residue solvent accessibility to assign three-state labels (alpha helix, beta strand, coil) for protein sequences and multiple sequence alignments.
Key Features:
- Jnet algorithm and accuracy: Implements the Jnet algorithm with a reported 81.5% three-state secondary structure prediction accuracy.
- Prediction targets: Produces per-residue three-state secondary structure assignments (alpha helix, beta strand, coil) and solvent accessibility predictions.
- Input types and profile generation: Accepts single protein sequences or multiple sequence alignments and generates alignment profiles to inform predictions.
- Database integration: Synchronizes reference data with SCOP and UniProt via a software pipeline to maintain up-to-date mappings.
- Output formats: Provides multiple output formats including colored HTML, plain text, PostScript, PDF, and Jalview-compatible files.
Scientific Applications:
- Structural biology: Supplies residue-level secondary structure information for interpretation of protein folding, motifs, and domain organization.
- Protein function and interaction analysis: Informs analyses of protein function, stability, and potential interaction interfaces through secondary structure and solvent accessibility data.
- Annotation and curation: Facilitates annotation of protein sequences and integration with SCOP and UniProt reference data for database curation.
Methodology:
Uses the Jnet algorithm to predict three-state secondary structure and solvent accessibility from single sequences or multiple sequence alignments by generating alignment profiles and synchronizing reference data with SCOP and UniProt via a software pipeline.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 3/24/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Cole C, Barber JD, Barton GJ. The Jpred 3 secondary structure prediction server. Nucleic Acids Research. 2008;36(Web Server):W197-W201. doi:10.1093/nar/gkn238. PMID:18463136. PMCID:PMC2447793.