Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10627
Title: Morpheus: a fragment-based algorithm to predict fold-switching behaviour in proteins across proteomes
Authors: SUBRAMANIAN, VIJAY
Appadurai, Rajeswari
Venkatesh, Harikrishnan
Sekhar, Ashok
Srivastava, Anand
Srivastava A.
Dept. of Biology
Keywords: Algorithms
Databases
Protein
Protein Folding
Proteins
Proteome
Sequence Analysis
Software
2025-DEC-WEEK4
TOC-DEC-2025
2025
Issue Date: Dec-2025
Publisher: Oxford University Press
Citation: Bioinformatics, 41(12).
Abstract: Motivation-Functionally 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’. Results-Here, 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.
URI: https://doi.org/10.1093/bioinformatics/btaf635
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10627
ISSN: 1367-4811
Appears in Collections:JOURNAL ARTICLES

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