MESSA

MESSA performs consensus structural and functional analysis of protein sequences by aggregating predictions and annotations from multiple established bioinformatics methods.

Key Features:

• Structural predictions: Predicts local sequence properties and three-dimensional structural features of proteins using aggregated outputs from multiple tools.
• Consensus-based integration: Aggregates outputs from multiple established bioinformatics tools to produce consensus-based predictions.
• Functional annotations: Maps and integrates functional annotations from SWISS-PROT, Gene Ontology (GO) terms, and enzyme classifications.
• Protein sequence feature coverage: Analyzes a wide range of protein sequence features to link structural and functional information.

Scientific Applications:

• Protein Function Prediction: Supports hypothesis generation for biological roles of proteins by combining sequence-derived features and database annotations.
• Structural Biology Research: Provides predicted structural information to support studies of protein folding, stability, and interactions.
• Enzyme Classification Studies: Assists in categorizing enzymes using integrated sequence features and functional annotations.

Methodology:

Aggregates data from multiple well-established bioinformatics tools to produce consensus-based predictions of local sequence properties and three-dimensional structure and integrates annotations from SWISS-PROT, Gene Ontology (GO), and enzyme classifications.