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Updated: Jul 23, 2025
16:02
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
Published on: February 10, 2023
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Sensitive inference of alignment-safe intervals from biodiverse protein sequence clusters using EMERALD
Andreas Grigorjew1, Artur Gynter1, Fernando H C Dias1
1Department of Computer Science, University of Helsinki, Helsinki, Finland.
Genome Biology
|July 17, 2023
Summary
This study introduces pairwise alignment-safety to reveal robust amino acid positions across suboptimal sequence alignments. This method enhances understanding of protein biodiversity beyond optimal alignments alone.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Sequence alignments are fundamental in life science research.
- Current methods primarily focus on optimal alignments, neglecting valuable information from suboptimal solutions.
- Relying solely on optimal alignments is insufficient for large-scale biodiversity studies, such as those at the tree-of-life scale.
Purpose of the Study:
- To introduce a novel concept, pairwise alignment-safety, to analyze suboptimal sequence alignment solutions.
- To uncover amino acid positions that are consistently conserved across all suboptimal alignments.
- To provide a more comprehensive understanding of sequence relationships and protein universe biodiversity.
Main Methods:
- Development of the EMERALD software library for alignment-safety inference.
- Application of EMERALD to a large dataset of 400,000 sequences from the SwissProt database.
- Analysis of suboptimal alignment solutions to identify robustly shared amino acid positions.
Main Results:
- Demonstration that pairwise alignment-safety can identify amino acid positions robustly shared across suboptimal alignments.
- Successful implementation and application of the EMERALD software library.
- Analysis of 400k SwissProt sequences provides insights into conserved regions beyond optimal alignment findings.
Conclusions:
- Pairwise alignment-safety offers a powerful approach to extract more information from sequence alignment data.
- The EMERALD library facilitates the inference of alignment-safety, enhancing biodiversity exploration.
- This method addresses the limitations of relying solely on optimal alignments in large-scale biological sequence analysis.
Keywords:
Dynamic programmingNeedleman-Wunsch algorithmProtein foldingSequence alignmentSuboptimal alignmentsMore Related Videos
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