Co-Var

Co-Var analyzes co-evolution within and between proteins at the residue level to identify co-evolutionary pairings that maintain functional protein-protein interactions.

Key Features:

• Methodology: Implements a co-evolution scoring approach based on mutual information and the Bhattacharyya coefficient to assess residue-level relationships.
• Validation: Performance has been compared against CAPS and EV-complex.
• Pair Identification: Detects both spatially proximal and distant co-evolving residue pairs within and between proteins.
• High-degree Connections: Identifies high-degree co-evolutionary connections where residues in one protein link to multiple residues in a binding partner.
• Application Scope: Targets analysis of protein-protein interactions within complexes, including complexes involved in cancer metastasis.
• Interface and Non-interface Detection: Reports co-evolutionary pairings occurring at interface and non-interface regions of protein complexes.
• Functional Relevance: Predicts residues whose co-evolutionary patterns suggest roles in preserving functional interactions and in potential mutation-driven perturbations.

Scientific Applications:

• Molecular evolution: Detects correlated residue substitutions to study co-adaptive evolutionary changes between proteins.
• Structural biology: Maps co-evolving residues onto structures to infer interaction constraints and structural coupling.
• Disease pathology: Identifies residue-level co-evolutionary signals relevant to disease mechanisms, including cancer metastasis.
• Therapeutic target identification: Highlights conserved co-evolutionary residues and interfaces as candidate intervention points.
• Protein interaction networks: Reveals residue-level coupling across binding partners to inform models of interaction networks.

Methodology:

Computes mutual information and the Bhattacharyya coefficient to assess residue-level co-evolution in protein complexes and was validated against CAPS and EV-complex.