eProbalign

eProbalign computes maximal expected accuracy multiple sequence alignments using partition function posterior probabilities to generate accurate residue-pairing for protein sequence analysis.

Key Features:

• Maximal Expected Accuracy (MEA): Constructs alignments that maximize expected accuracy using the maximum expected accuracy optimization criterion.
• Partition function posterior probabilities: Uses partition function-derived posterior probabilities and pairwise residue posterior probabilities to guide alignment decisions within the Probalign framework.
• Benchmark performance: Outperforms Probcons, MAFFT, and MUSCLE on benchmarks including BAliBASE 3.0, HOMSTRAD, and OXBENCH with reported statistical significance (P-value < 0.005).
• Enhanced performance on complex datasets: Shows large accuracy improvements on datasets with N/C-terminal extensions, long or heterogeneous-length proteins, and protein repeats, with at least 10% and 15% higher accuracy when the standard deviation of length exceeds 300 and 400, respectively.

Scientific Applications:

• Complex protein dataset analysis: Alignment of proteins with N/C-terminal extensions, long sequences, heterogeneous lengths, and repeats.
• Evolutionary biology: Precise sequence comparisons for phylogenetic and comparative analyses.
• Structural genomics: Improved residue alignments to support structural inference and modeling.
• Functional annotation of proteins: Accurate alignments to inform functional residue and domain annotation.

Methodology:

Computes partition function posterior probabilities, derives pairwise residue posterior probabilities, and applies maximum expected accuracy optimization within the Probalign framework.