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

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.