Reveal
Reveal predicts active sites in polypeptide chains by modeling hydrophobic cores and comparing observed hydrophobicity distributions with an idealized fuzzy oil-drop model to identify functionally relevant regions.
Key Features:
- Three-Dimensional Gauss Function Representation: Employs a three-dimensional Gauss function to model the hydrophobic core of proteins.
- Fuzzy Oil-Drop Model Discrepancy Analysis: Assesses discrepancies between the idealized fuzzy oil-drop model and observed hydrophobicity distributions, with attention to ligand-binding and functional regions.
- Hydrophobicity Distribution Profiling: Profiles differences between idealized and actual hydrophobicity distributions along polypeptide chains to characterize structure-function relationships.
- Fragment Specificity Evaluation: Evaluates the specificity of polypeptide chain fragments regarding their biological functions and roles in active-site formation.
- Comparative Scale for Ligand-Binding Sites: Computes a comparative scale for comparing proteins based on characteristics of their ligand-binding sites.
Scientific Applications:
- Functional Site Identification: Supports identification and characterization of ligand-binding and active sites within proteins.
- Enzyme Mechanism Analysis: Aids analysis of enzyme mechanisms by relating deviations in hydrophobic core distribution to catalytic regions.
- Drug Design and Ligand Interaction Studies: Informs drug design by comparing ligand-binding site properties across proteins to evaluate interaction-relevant features.
- Protein Engineering: Guides protein engineering by highlighting chain fragments that contribute to binding and biological activity.
Methodology:
Model the hydrophobic core using a three-dimensional Gauss function; compare observed hydrophobicity distributions to an idealized fuzzy oil-drop model to assess discrepancies; profile hydrophobicity differences along polypeptide chains; evaluate fragment-specificity; and compute a comparative scale for ligand-binding sites.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Brylinski M, et al. Sequence-structure-function relation characterized in silico. In Silico Biol. 2006; 6:589-600.
PMID: 17518766