Proteome Analyst

Proteome Analyst predicts protein properties across entire proteomes, including GeneQuiz general function, Gene Ontology (GO) molecular function, and subcellular localization.

Key Features:

• Proteome-scale prediction: Performs high-throughput, proteome-scale prediction of multiple protein properties.
• Property coverage: Predicts GeneQuiz general function, Gene Ontology (GO) molecular function, and subcellular localization.
• Machine-learned classifiers: Employs machine-learned classifiers to generate predictive models.
• Naïve Bayes classifiers with explanation: Implements Naïve Bayes classifiers that provide both prediction and explanation capabilities.
• Custom classifier training: Generates custom classifiers from user-supplied labeled training data to predict new properties, exemplified by potassium-ion channel proteins.
• Explanation features: Provides explanation functionality that yields graphical insights into prediction components.

Scientific Applications:

• Proteome annotation: Assigns GeneQuiz and GO molecular function annotations across entire proteomes.
• Subcellular localization mapping: Identifies likely cellular compartments where proteins perform their primary functions.
• Functional family detection: Enables detection and prediction of specific protein families or functions, such as potassium-ion channel proteins, via custom classifiers.
• High-throughput proteomic analysis: Supports large-scale analyses of protein properties across species or experimental datasets.

Methodology:

Uses machine-learned classifiers, including Naïve Bayes classifiers, supports training custom classifiers from user-supplied labeled training data, and provides explanation mechanisms with graphical insight into predictions.