Morpheus: a fragment-based algorithm to predict fold-switching behaviour in proteins across proteomes
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).
Authors
- Ashok Sekhar (ORCID: https://orcid.org/0000-0002-8628-7799)
- Anand Srivastava (ORCID: https://orcid.org/0000-0002-2757-1511)
- Rajeswari Appadurai (ORCID: https://orcid.org/0000-0001-5988-868X)
- Vijay Subramanian (ORCID: https://orcid.org/0000-0001-9136-6419)
- H.N. Venkatesh
Institutions
- Indian Institute of Science Education and Research Pune (IN)
- IBM (India) (IN)
- Indian Institute of Science Education and Research, Tirupati (IN)
- Indian Institute of Science Bangalore (IN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1093/bioinformatics/btaf635
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Indian Institute of Science
- Wellcome Trust
- Department of Biotechnology, Ministry of Science and Technology, India
- Department of Science and Technology, Ministry of Science and Technology, India
- The Wellcome Trust DBT India Alliance