Structome-AlignViewer: On Confidence Assessment in Structure-Aware Alignments

Area of Science:

• Computational Biology
• Structural Bioinformatics
• Evolutionary Biology

Background:

• Protein structure comparison offers deeper evolutionary insights than sequence-based methods.
• Structure-aware alphabets simplify 3D protein structures into comparable strings.
• Challenges exist in aligning divergent protein structures, leading to misalignments.

Purpose of the Study:

• To introduce Structome-AlignViewer, a web resource for evaluating structure-aware alignment quality.
• To provide tools for spatial mapping and quantitative confidence scoring of alignments.
• To support robust comparative and evolutionary analyses of protein structures.

Main Methods:

• Encoding 3D protein structures into simplified, structure-aware strings.
• Developing spatial mapping of alignment columns to protein structures.
• Computing confidence scores based on pairwise structural substitutions and normalization.

Main Results:

• Structome-AlignViewer enables visual and quantitative assessment of alignment quality.
• Confidence scoring highlights well-supported alignment columns.
• Analysis of existing structural classifications provides empirical benchmarks for alignment quality.

Conclusions:

• Structome-AlignViewer offers an interpretable method for assessing structural alignment quality.
• The tool aids in refining alignments by excluding gap-rich regions to focus on conserved cores.
• Improved structural alignment quality facilitates more robust evolutionary and comparative analyses.