OpenProt 2.0 builds a path to the functional characterization of alternative proteins.
Résumé
The OpenProt proteogenomic resource (https://www.openprot.org/) provides users with a complete and freely accessible set of non-canonical
or alternative open reading frames (AltORFs) within the transcriptome of various species, as well as functional annotations of the corresponding
protein sequences not found in standard databases. Enhancements in this update are largely the result of user feedback and include the
prediction of structure, subcellular localization, and intrinsic disorder, using cutting-edge algorithms based on machine learning techniques. The
mass spectrometry pipeline now integrates a machine learning-based peptide rescoring method to improve peptide identification. We continue to
help users explore this cryptic proteome by providing OpenCustomDB, a tool that enables users to build their own customized protein databases,
and OpenVar, a genomic annotator including genetic variants within AltORFs and protein sequences. A new interface improves the visualization
of all functional annotations, including a spectral viewer and the prediction of multicoding genes. All data on OpenProt are freely available and
downloadable. Overall, OpenProt continues to establish itself as an important resource for the exploration and study of new proteins.
Domaines
Sciences du Vivant [q-bio]| Origine | Publication financée par une institution |
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| Licence |
