(PS)2-v2: Protein Structure Prediction Server

(PS)2-v2: Protein Structure Prediction Server analyzes and aligns target data with selected templates using probabilistic models and hierarchical clustering.

Key Features:

• Template Selection: Uses a consensus-based approach dynamically updated based on performance metrics.
• Target-Template Alignment: Quantifies alignment scores using a probabilistic model and visualizes results as 3D graphs.
• Structure Building: Builds structures using a hierarchical clustering algorithm validated by cross-validation techniques and optimized for scalability.

Scientific Applications:

• Machine learning and statistical analysis: Analyzes complex data relationships in machine learning and statistical analysis.

Methodology:

Computational methods include probabilistic models, Bayesian inference, machine learning techniques, hierarchical clustering, and cross-validation.