FSWeight

FSWeight prioritizes protein-protein interactions inferred from high-throughput assays such as yeast-two-hybrid and phage display by computing a Functional Similarity Weighting index from interaction network topology to assess interaction reliability.

Key Features:

• Functional Similarity Weighting (FSWeight) index: Computes an index that leverages abstract mathematical characterizations and functional similarity between proteins to assess PPI reliability and improve precision and sensitivity compared with Neighbour Counting, Chi2, PRODISTIN, Functional Flow, and Markov Random Field approaches.
• Topological Network Analysis: Utilizes topological information from protein interaction networks and incorporates indices such as interaction generality (IG) and interaction reliability by alternative pathways (IRAP) to characterize reliable PPI networks.
• Ranking Reliability: Ranks the reliability of individual protein interactions based on topological and functional-similarity-derived scores to prioritize interactions for experimental validation.

Scientific Applications:

• Prioritizing Experimental Validation: Prioritizes candidate PPIs from high-throughput datasets to focus downstream wet-lab validation on interactions predicted to be more reliable.
• Network-Based Function Inference: Infers protein function by analyzing indirect interaction partners and topological context within PPI networks.
• Enhancing Interaction Network Models: Refines PPI network models by incorporating topological indices and functional-similarity weights to improve model accuracy.

Methodology:

Computes a Functional Similarity Weighting (FSWeight) index from network topology using measures of functional similarity and incorporates interaction generality (IG) and interaction reliability by alternative pathways (IRAP), comparing scores with Neighbour Counting, Chi2, PRODISTIN, Functional Flow, and Markov Random Field methods.