viper

viper infers protein activity from gene expression data using enriched regulon analysis to identify dysregulated regulatory proteins and support functional interpretation relevant to oncology.

Key Features:

• Algorithmic Approach: VIPER employs an algorithm that leverages enriched regulon analysis to infer protein activity from gene expression profiles.
• Inference without direct measurement: The method enables inference of protein activity when direct protein measurements are not feasible.
• Experimental Validation: The VIPER algorithm has been experimentally validated to assess protein activity across biological contexts.
• Integration with TCGA: viper has been applied to The Cancer Genome Atlas (TCGA) samples to evaluate genetic alterations in regulatory proteins.
• Identification of Dysregulated Oncoproteins: viper can detect tumors with aberrant activity of druggable oncoproteins that lack corresponding genetic mutations and identify cases where mutations do not correspond to activity changes.
• Predictive Power for Drug Sensitivity: In vitro assays have shown that viper-inferred protein activities predict sensitivity to targeted inhibitors more effectively than conventional mutational analyses.

Scientific Applications:

• Personalized Oncology: Identification of dysregulated oncoproteins to inform personalized therapeutic strategies based on inferred protein activity.
• Research and Development: Investigation of the functional relevance of genetic alterations to guide discovery and application of targeted therapies.
• Clinical Decision-Making: Augmentation of clinical interpretation by providing a functional layer of protein activity beyond genomic mutation status.

Methodology:

Enriched regulon analysis applied to gene expression profiles to infer protein activity, including application to TCGA gene expression data to evaluate regulatory protein alterations.