Evidence map›Paper›PMID 41527918›Full record

ArticleGenome biology and evolution2026

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

Ashar J Malik, Siying Mao, Philip Hugenholtz, David B Ascher

Abstract read
In one paragraph

Article in Genome biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ashar J MalikSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-4396-5059
Siying MaoSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5503-7474
Philip HugenholtzSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5386-7925
David B AscherSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-2948-2413

Funding

National Health and Medical Research Council GNT1174405
6 · The paper itself

Abstract

Protein structure-based comparison provides a framework for uncovering deep evolutionary relationships that can escape conventional sequence-based approaches. Encoding three-dimensional protein structures using a simplified structure-aware alphabet can lead to compact, comparable strings that retain key spatial relationships. Although this enables comparison, structure-aware alignments can experience misaligned regions, particularly when comparing proteins with substantial divergence in fold architecture. To address this, a web-based resource, Structome-AlignViewer, is introduced in this work for evaluating the quality of structure-aware alignments through both spatial mapping of alignment columns to protein structures and quantitative confidence scoring. Confidence is computed from pairwise structural substitutions between adjacent inputs and normalized within each alignment to highlight relatively well-supported columns. To provide broader context, thousands of alignments from established structural classification systems were analyzed, allowing for an empirical comparative statistic to be derived to assess alignment quality. The option to exclude gap-rich regions enables users to refine alignments and focus on conserved structural cores. This approach provides an interpretable method for assessing structural alignment quality and supports more robust comparative and evolutionary analyses. Structome-AlignViewer is freely available at https://biosig.lab.uq.edu.au/structome_alignviewer/.

Indexed as

ProteinsSequence AlignmentSoftwareEvolution, MolecularProtein ConformationProteinsalignment confidence scoringdeep structural homologyprotein structure comparisonstructural phylogeneticsstructure-based alignment

Identifiers

PMID41527918
PMCPMC12835816

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.