SISPRO

SISPRO identifies robust proteomic signatures in spatial proteomics by combining relative weighted consistency (CWrel) and area under the curve (AUC) to improve signature reliability and enable annotation across nine organelles and twenty-two subcellular structures.

Key Features:

• Dual-evaluation metrics: Uses relative weighted consistency (CWrel) and area under the curve (AUC) to evaluate signature robustness and discriminative power.
• Robust signature identification: Prioritizes proteomic signatures that demonstrate consistency and high classification performance.
• Subcellular integration: Annotates signatures with subcellular context covering nine organelles and twenty-two subcellular structures.
• Enhanced biological interpretability: Links identified signatures to cellular architecture to support interpretation of protein spatial distribution and dynamics.

Scientific Applications:

• Spatial proteome mapping: Identification of organelle- and substructure-specific protein signatures in spatial proteomics datasets.
• Subcellular annotation: Assigning proteomic signatures to nine organelles and twenty-two subcellular structures to provide localization context.
• Biological interpretation: Facilitating interpretation of protein distribution and dynamics relevant to cellular function and disease studies.

Methodology:

Signature evaluation applies a dual-evaluation approach combining relative weighted consistency (CWrel) and area under the curve (AUC).