Automated minimization of steric clashes in protein structures

Area of Science:

• Computational biology
• Structural bioinformatics
• Protein modeling

Background:

• Protein structure evaluation and refinement are crucial for molecular modeling, homology modeling, and protein design.
• Steric clashes, caused by overlapping non-bonding atoms, are common artifacts in low-resolution and homology models.
• Existing refinement tools often struggle with severe steric clashes, hindering further analysis.

Purpose of the Study:

• To develop a quantitative method for identifying and assessing the severity of steric clashes in protein structures.
• To present Chiron, a novel protocol for automated and efficient resolution of severe steric clashes.
• To enable more accurate protein design by providing a robust clash refinement tool.

Main Methods:

• Defining steric clashes based on Van der Waals repulsion energy between non-bonding atoms.
• Establishing a metric for clash severity through statistical analysis of high-resolution protein structures.
• Developing Chiron, a rapid and automated protocol for resolving clashes with minimal backbone perturbation.

Main Results:

• Chiron effectively identifies and quantifies steric clashes using a defined energy-based approach.
• The Chiron protocol successfully resolves severe clashes in protein structures, including homology models.
• Benchmark studies demonstrate Chiron's superior efficiency and robustness compared to existing methods.

Conclusions:

• Chiron provides a robust and automated solution for evaluating and resolving steric clashes in protein structures.
• The developed method and tool facilitate more accurate protein modeling and design.
• Chiron is available as a web server, enhancing accessibility for the scientific community.