Applications of complementarity plot in error detection and structure validation of proteins.

Area of Science:

• Structural biology
• Computational biology
• Biophysics

Background:

• The complementarity plot (CP) evaluates residue interactions within protein interiors, assessing packing and electrostatics.
• CP is a validated tool for detecting errors in protein side-chain conformations.

Purpose of the Study:

• To develop and assess new local and global scores derived from CP.
• To evaluate CP's utility in distinguishing obsolete protein structures from updated versions.
• To identify packing anomalies and incorrect rotamer assignments.

Main Methods:

• Design of novel local and global scoring functions based on the complementarity plot.
• Application of CP-based scores for structure validation and error detection.
• Analysis of main-chain geometrical parameters and their impact on protein fold integrity.

Main Results:

• CP-based scores effectively differentiate between obsolete and refined protein structures.
• The method accurately detects incorrect rotamer assignments and packing anomalies.
• CP identifies subtle, widespread errors in main-chain geometry and unbalanced charges.

Conclusions:

• Complementarity plots offer a robust method for protein structure validation and quality assessment.
• CP-based scores are valuable for identifying subtle structural errors and guiding protein modeling and design.
• The study confirms the importance of specific main-chain deviations for maintaining protein fold stability.