FlatProt: 2D visualization eases protein structure comparison

Area of Science:

• Bioinformatics
• Computational Biology
• Structural Biology

Background:

• Comparing 3D protein structures is crucial for bioinformatics, molecular biology, and drug discovery.
• Current 2D visualization tools struggle with simultaneous comparison of multiple protein structures and large datasets.
• Existing methods lack standardization for efficient pre-filtering and inspection of extensive protein collections.

Purpose of the Study:

• To introduce FlatProt, a novel tool for standardized 2D visualization of protein structures.
• To enable efficient comparison of individual protein structures and large sets thereof.
• To complement existing 3D viewers by providing scalable visual summaries.

Main Methods:

• FlatProt utilizes Foldseek-based family rotation alignment or an inertia-based fallback for consistent structure representation.
• The tool supports domain-aware decomposition and family-level overlays for detailed analysis.
• It offers lightweight visual abstraction of secondary structures for clarity.

Main Results:

• FlatProt generates consistent and scalable 2D visual representations of protein structures.
• The tool demonstrates efficient processing of large protein datasets, as shown on a human proteome subset.
• It successfully visualizes individual and multiple protein structures for comparative analysis.

Conclusions:

• FlatProt provides clear, consistent, and user-friendly visualizations for rapid, large-scale comparative inspection of protein structures.
• The tool bridges the gap between interactive 3D visualization and static summaries.
• FlatProt facilitates exploration of conserved features, outlier detection, and prioritization of structures for further analysis.