DeepGOWeb

DeepGOWeb predicts protein functions from amino acid sequences using the DeepGOPlus model to combine deep learning and sequence similarity for Gene Ontology (GO)-aligned annotations.

Key Features:

• Function Prediction: Uses the DeepGOPlus model to predict protein functions directly from amino acid sequences.
• Deep Learning and Sequence Similarity: Integrates deep learning techniques with sequence similarity assessments to improve prediction accuracy.
• Gene Ontology Consistency: Maps predicted functions to the Gene Ontology (GO) framework for standardized annotations.

Scientific Applications:

• Protein Functional Annotation: Provides GO-term predictions to annotate uncharacterized protein sequences.
• Genomics and Proteomics: Supports large-scale functional annotation in genomics and proteomics datasets where experimental characterization is limited.
• Systems Biology: Supplies functional assignments to inform systems biology analyses and computational models of molecular processes.

Methodology:

Applies the DeepGOPlus model, combining deep learning with sequence similarity, to assign Gene Ontology (GO) terms from amino acid sequence inputs.