CheShift-2: graphic validation of protein structures.

Area of Science:

• Biochemistry
• Structural Biology
• Computational Biology

Background:

• Protein structure validation is crucial for understanding biological function.
• Previous work introduced CheShift, a web server for detecting local flaws in protein structures using chemical shift differences.
• CheShift-2 builds upon this by incorporating a graphical user interface for easier visualization.

Purpose of the Study:

• To present CheShift-2, an enhanced web server for protein structure validation.
• To demonstrate the utility of CheShift-2 in rapidly and accurately identifying local structural flaws.
• To investigate the optimal treatment of histidine (His) for improved prediction accuracy.

Main Methods:

• Utilizing differences between observed and predicted (13)C(α) chemical shifts as a probe for structural flaws.
• Implementing a graphical user interface in CheShift-2 for intuitive visualization of local flaws.
• Applying CheShift-2 to 15 ensembles of protein conformations to assess its performance.
• Investigating the impact of different histidine tautomers on prediction accuracy.

Main Results:

• CheShift-2 effectively locates main structural flaws on a per-residue basis.
• The graphical user interface facilitates easy visualization of local structural imperfections.
• Applications to 15 conformation ensembles confirm the tool's rapid and accurate flaw detection capabilities.
• Analysis of histidine treatment is performed to optimize prediction accuracy.

Conclusions:

• CheShift-2 provides a powerful and user-friendly tool for protein structure validation.
• The server accurately identifies local structural flaws, aiding in the refinement of protein models.
• Further investigation into specific residue treatments, like histidine, is important for enhancing prediction accuracy.