CONAN

CONAN analyzes amino acid co-variation networks to identify specificity determinants and function-related sites within proteins.

Key Features:

• Amino Acid Co-Variation Network Analysis: Uses network-based analysis of co-evolving amino acids to detect residues with potential functional or structural significance within protein families.
• Local Coevolutionary Constraints: Focuses on local coevolutionary constraints to improve precision in pinpointing residues critical for specific functions or interactions.
• Residue Grouping and Sequence-Subset Relationships: Characterizes groups or clusters of co-varying residues and relates them to subsets of sequences to reveal specificity determinants.
• Integration with Biological Databases: Cross-references identified sites with Gene Ontology (GO) terms, UniProtKB annotations, and INTERPRO entries to provide functional context.
• MSA-based Network Construction: Constructs co-evolution networks from multiple sequence alignments (MSAs) to detect co-variation patterns.

Scientific Applications:

• Structural Biology: Identifies function-related and specificity-determining residues to inform structural interpretation and mapping of functional sites.
• Functional Genomics: Maps residue-function relationships across protein families to support functional annotation and hypothesis generation.
• Evolutionary Studies: Analyzes coevolutionary patterns to investigate molecular evolution and divergence of specificity among sequence subsets.
• Protein-Protein and Enzyme-Substrate Specificity: Infers determinants of protein-protein interactions and enzyme-substrate relationships from co-varying residue clusters.

Methodology:

Construct co-evolution networks from multiple sequence alignments, identify clusters of co-varying residues indicative of functional or structural importance, and cross-reference identified sites with GO, UniProtKB, and INTERPRO annotations.