ViewFeature: integrated feature analysis and visualization.

Area of Science:

• Computational Biology
• Structural Biology
• Bioinformatics

Background:

• High-performance computing systems generate complex data, requiring advanced visualization for scientific insight.
• Understanding protein structure-function relationships is crucial in the post-genomic era.
• The Feature program analyzes protein sites but lacks visualization capabilities.

Purpose of the Study:

• To develop an extension for the Chimera molecular visualization program to integrate Feature's analysis with 3D structures.
• To create a tool, ViewFeature, for understanding structural determinants of protein sites.
• To analyze the enolase superfamily to identify conserved properties and differentiate active sites.

Main Methods:

• Developed ViewFeature, an extension for the molecular visualization program Chimera.
• Integrated Feature's statistical models and site predictions with 3D protein structures in Chimera.
• Applied ViewFeature to analyze the enolase superfamily and compare active sites with other protein families.

Main Results:

• ViewFeature successfully integrates Feature's analysis with 3D protein structures.
• The C-terminal domain of the enolase superfamily shows no significant scaffold difference from metal-binding alpha/beta barrels.
• Differentiated metal-binding sites of alpha/beta barrels from other metal-binding proteins using ViewFeature.

Conclusions:

• ViewFeature enhances the understanding of structural features defining protein sites of interest.
• The study provides insights into the conserved physical properties of the enolase superfamily.
• ViewFeature aids in distinguishing specific protein families and their active site characteristics.