ArticleBioinformatics (Oxford, England)2025
Morpheus: a fragment-based algorithm to predict fold-switching behaviour in proteins across proteomes.
Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Fold-Switching Proteins.Annual review of biophysics · 2026Review
- Article
- Fold-switching proteins.ArXiv · 2025Article
- Large-scale predictions of alternative protein conformations by AlphaFold2-based sequence association.Nature communications · 2025Article
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Authors and funding
5 authors.
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Abstract
motivationFunctionally important 'fold-switching' proteins, which do not obey the classical folding dogma, are now thought to be widespread. Algorithms that can accurately annotate fold-switching proteins from sequence information can help uncover the true extent of the 'metamorphome'.
resultsHere, we present Morpheus, a fragment-based classification approach, that works by analysing the diversity of structures within a query protein sequence. Morpheus exhaustively curates and uses fragment structural data from the Protein Data Bank as well as the AlphaFold Protein Structure Database. We employed our algorithm on 57 different proteomes consisting of a total of 601 218 proteins and identified about 10% of these proteins with the ability to fold-switch. Additionally, we provide a web server for Morpheus to test for fold-switching propensities for user-defined sequences (http://mbu.iisc.ac.in/∼anand/morpheus). Besides screening for fold-switching behaviour in proteomes, our work will be useful in de novo design and engineering of such proteins through further experimentation. AVAILABILITY AND IMPLEMENTATION: All codes used for fragment-picking analysis and the proteome-level prediction data for the 57 proteomes are publicly available on Zenodo (https://zenodo.org/records/14837336). The algorithm is also hosted within the web server (http://mbu.iisc.ac.in/∼anand/morpheus).
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