JOURNAL ARTICLE

Multiple protein structure alignment at scale with FoldMason.

  • Published In: Science, 2026, v. 391, n. 6784. P. 485 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Gilchrist, Cameron L. M.; Mirdita, Milot; Steinegger, Martin 3 of 3

Abstract

Protein structure is conserved beyond sequence, making multiple structural alignment (MSTA) essential for analyzing distantly related proteins. Computational prediction methods have vastly extended our repository of available protein structures, requiring fast and accurate MSTA methods. We introduce FoldMason, a progressive MSTA method that leverages the pairwise structural aligners Foldseek and TM-align for the multiple alignment of hundreds of thousands of protein structures, matching or exceeding the alignment quality of state-of-the-art MSTA methods while being two orders of magnitude faster. Using Flaviviridae glycoproteins, we demonstrate that FoldMason's MSTAs support phylogenetic analysis beyond the "twilight zone." FoldMason computes confidence scores, offers interactive visualizations, and provides essential speed and accuracy for large-scale protein structure analysis in the era of accurate structure prediction. FoldMason is free, open-source software. Editor's summary: Protein structures can preserve information about evolutionary relationships that are no longer possible to detect by sequence alone. However, aligning by structure is computationally intensive, and with the advent of large-scale structure prediction, there is a need for tools that can efficiently align vast numbers of structures. Gilchrist et al. present FoldMason, a tool designed for this purpose that is based on parallelized progressive alignment. This approach permits large-scale phylogenetic analyses for protein families that have conserved structure but limited sequence conservation. —Michael A. Funk [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Science. 2026/01, Vol. 391, Issue 6784, p485
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:0036-8075
  • DOI:10.1126/science.ads6733
  • Accession Number:191204541
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