Allosite

Allosite predicts allosteric sites in protein structures to identify regulatory regions relevant for drug discovery.

Key Features:

• Automatic prediction: Automates identification of potential allosteric sites in proteins using computational analysis.
• Structural data integration: Integrates protein structural data into the prediction process.
• Machine learning: Utilizes machine learning techniques to enhance prediction accuracy.
• Supplementary data: Provides supplementary data supporting predictions accessible via Bioinformatics online.

Scientific Applications:

• Drug discovery: Guides identification of allosteric modulators and targets for therapeutic development.
• Design of selective modulators: Supports design of allosteric modulators with enhanced specificity and reduced side effects compared to orthosteric ligands.
• Challenging targets: Aids targeting proteins where traditional orthosteric sites are problematic.

Methodology:

Allosite analyzes protein structures using advanced computational algorithms and integrates structural data with machine learning techniques to predict potential allosteric sites.