PepStr
PepStr predicts the tertiary structures of small bioactive peptides (7–25 residues) with emphasis on identifying β-turns and secondary structure elements.
Key Features:
- Peptide length range: Predicts tertiary structures for peptides of 7–25 residues.
- β-turn prevalence analysis: Analysis of 77 biologically active peptides showed 58 contained at least one β-turn, with 34.9% of residues in β-turns versus 32.3% helical and 6.9% beta-sheet residues.
- PSIPRED integration: Incorporates PSIPRED to provide regular secondary structure predictions including helices, beta-strands, and coils.
- BetaTurns prediction: Uses BetaTurns to predict β-turn types.
- Model I: Builds an all-extended conformation with phi and psi angles set to 180 degrees for all residues.
- Model II: Incorporates regular secondary structure information from PSIPRED, including helices, beta-strands, and coils.
- Model III: Utilizes both regular secondary structures and β-turn types predicted by BetaTurns.
- Model IV: Extends Model III by assigning side-chain angles using the Dunbrack backbone-dependent rotamer library.
- Energy refinement: Refines models using the AMBER package and energy minimization, optimizing structural accuracy measured by C(alpha) root mean square deviation (rmsd), with inclusion of β-turns reducing rmsd before and after minimization.
Scientific Applications:
- Peptide structural analysis: Prediction and analysis of three-dimensional structures of small bioactive peptides to inform studies of structure–function relationships.
- Secondary structure investigation: Quantitative assessment of β-turn, helix, and beta-sheet content in bioactive peptides.
- Peptide therapeutics: Support for peptide-based drug design and therapeutic development through structural modeling and refinement.
Methodology:
Integrates PSIPRED regular secondary structure predictions and BetaTurns β-turn type predictions; constructs four models (Model I: all residues extended with phi/psi = 180 degrees; Model II: includes PSIPRED secondary structures; Model III: adds BetaTurns β-turn types; Model IV: assigns side-chain angles from the Dunbrack backbone-dependent rotamer library); refines models with the AMBER package and energy minimization and evaluates structural accuracy by C(alpha) rmsd.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/2/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Harpreet Kaur, Aarti Garg, G.P.S. Raghava. PEPstr: A de novo Method for Tertiary Structure Prediction of Small Bioactive Peptides. Protein & Peptide Letters. 2007;14(7):626-631. doi:10.2174/092986607781483859. PMID:17897087.