Scratch Protein Predictor
Scratch Protein Predictor predicts tertiary protein structures and multiple residue-level structural features from amino acid sequences to provide insights into protein architecture.
Key Features:
- Secondary Structure Prediction: Predicts alpha-helices, beta-sheets, and random coils from amino acid sequence.
- Relative Solvent Accessibility: Estimates residue exposure to solvent to inform interaction and functional analyses.
- Disordered Regions Identification: Identifies regions that lack a fixed three-dimensional structure indicative of intrinsic disorder.
- Domain Prediction: Delineates distinct structural domains within protein sequences.
- Disulfide Bridge Prediction: Predicts presence and locations of disulfide bonds between cysteine residues.
- Single Mutation Stability Analysis: Assesses how single amino acid substitutions affect protein stability.
- Residue Contacts Prediction: Predicts residue–residue contacts, including comparisons to average contact values and individual contact predictions.
Scientific Applications:
- Structural Biology: Supports hypothesis generation for three-dimensional protein conformations from sequence data.
- Protein Engineering: Informs design and evaluation of mutations through predicted stability and structural features.
- Drug Discovery: Provides solvent accessibility and disorder information relevant to target characterization and ligand design.
- Functional Genomics: Uses domain and structural predictions to aid functional annotation and evolutionary analyses.
Methodology:
Computational algorithms analyze submitted amino acid sequences to generate predictions for the user-selected structural features.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/6/2017
- Last Updated:
- 9/4/2019
Operations
Data Inputs & Outputs
Coding region prediction
Publications
Cheng J, Randall AZ, Sweredoski MJ, Baldi P. SCRATCH: a protein structure and structural feature prediction server. Nucleic Acids Research. 2005;33(Web Server):W72-W76. doi:10.1093/nar/gki396. PMID:15980571. PMCID:PMC1160157.