SuccFind

SuccFind predicts lysine succinylation sites in proteins to annotate succinylation events across proteomes and support studies of their physiological and pathological roles.

Key Features:

• Dual characteristic categories: Uses sequence-derived features and evolutionary-derived information to predict lysine succinylation sites.
• Sequence-derived features: Analyzes primary amino acid sequences to identify potential succinylation sites.
• Evolutionary-derived information: Leverages evolutionary conservation across species to inform site prediction.
• Enhanced feature strategy: Incorporates an enhanced feature strategy to optimize prediction accuracy and reliability.
• Cross-validation assessment: Evaluated using rigorous cross-validation to assess predictive performance.

Scientific Applications:

• Proteome annotation: Predicts succinylation sites to assist annotation of post-translational modifications across proteomes.
• Regulatory mechanism studies: Supports investigation of the regulatory roles of lysine succinylation in cellular processes.
• Disease mechanism research: Aids exploration of how dysregulation of succinylation may contribute to disease mechanisms.
• Experimental guidance: Guides experimental studies by prioritizing candidate succinylation sites for validation.

Methodology:

Prediction combines sequence-derived features and evolutionary conservation information using an enhanced feature strategy and performance was evaluated by cross-validation.