NIAS-Server

NIAS-Server analyzes conformational preferences of amino acid residues and secondary structures in experimentally determined three-dimensional protein structures and computes probability densities for use in structure validation, prediction, fold and motif characterization, and protein design.

Key Features:

• Conformational Preference Analysis: Extracts detailed conformational preferences of amino acid residues and secondary structures from experimentally determined three-dimensional protein structures.
• Structure Validation and Prediction: Computes probability densities of amino acid conformations for assessing and comparing predicted and experimental protein models.
• Characterization of Protein Folds and Motifs: Provides conformational data used to characterize protein folds and local structural motifs.
• Applications in Protein Structure Prediction and Design: Supplies residue-specific conformational tendencies that inform protein structure prediction and rational protein design.

Scientific Applications:

• Protein Structure Analysis: Analyzing detailed residue conformations within solved protein structures.
• Molecular Folding Studies: Investigating how proteins fold into their functional three-dimensional shapes using residue conformational preferences.
• Structure-Based Drug Design: Using conformational preference data to inform design of drugs that interact with specific protein structural features.

Methodology:

Analyzes a repository of experimentally determined protein structures to extract conformational preferences of amino acids and computes probability density distributions from the extracted data.