Linking protein structural and functional change to mutation using amino acid networks

Area of Science:

• * Biochemistry and Molecular Biology
• * Structural Bioinformatics
• * Protein Engineering

Background:

• * Protein function is intrinsically linked to its three-dimensional structure.
• * Mutations altering amino acid sequences drive protein evolution and functional diversification.
• * Deep mutational scanning reveals position-dependent functional changes, suggesting structural roles.

Purpose of the Study:

• * To investigate the relationship between protein structural changes and functional alterations at specific positions.
• * To determine if structural properties explain the functional relevance of mutations.
• * To develop a predictive model for functionally sensitive positions.

Main Methods:

• * Analysis of five proteins with experimental functional data.
• * Modeling mutated proteins using amino acid networks to quantify structural perturbations.
• * Correlation analysis between measured structural changes and observed functional effects.

Main Results:

• * Structural change induced by mutations is position-dependent and strongly correlates with functional change.
• * Significant structural disruptions are associated with loss of protein function.
• * Positions exhibiting functional gain upon mutation tend to be structurally stable.

Conclusions:

• * Protein structural properties are critical determinants of mutation-induced functional changes.
• * A computational method predicting functionally sensitive sites based on structural change achieved 74.7% precision and 69.3% recall.
• * This approach aids in understanding protein evolution and engineering proteins with desired functions.